Security Audits: The Smartest Investment in Your Cyber Defense Strategy

Every organization believes its cyber defenses are strong until an audit proves otherwise. Although everything looks secure on paper, misconfigured systems, forgotten credentials, and unpatched software often sit unnoticed and waiting to be exploited. Closing that gap is what a properly executed security audit is designed to do, and why audits should be treated as smart investments for a company’s long-term resilience, not just as a compliance chore.

Confidence vs. Security

Many organizations assume that because they haven’t had a cybersecurity breach yet, their security must be sufficient. However, that assumption is dangerous because attackers are constantly finding new ways to exploit programs and breach defenses. Hackers don’t announce themselves before striking, and the average business has no way of reliably knowing how exposed it is without independent verification. A security audit provides that verification, replacing assumptions with evidence and giving leadership an accurate picture of where the organization stands.

The distinction between confidence and real security is becoming more important than ever. As manufacturing, banking, and other industries digitize their operations, the exposure to cyber threats has expanded significantly. For example, a recent look at cybersecurity challenges facing manufacturers highlights how IoT devices and complex supply chains have introduced vulnerabilities that didn’t exist a decade ago. The financial sector also faces a similar challenge, detailed in an analysis of cyber risks in banking, where high-value transactions and cross-border operations make institutions prime targets. In both cases, growth without oversight creates risk that goes unnoticed until it becomes a crisis.

What a Security Audit Delivers

A security audit is a structured review of an organization’s systems, policies, and controls, conducted by an independent party. It answers questions internal teams are often too close to ask objectively, including:

For businesses that rely on building trust with customers, partners, and regulators, a SOC audit measured against the SOC 2 framework offers a formal way to validate your systems. It signals that an organization takes data protection seriously enough to subject itself to independent scrutiny, which can help separate trusted partners from the rest of the market.

Further, security audits are not a one-time occurrence. As industry standards evolve, so must the organizations that rely on them. A look at cybersecurity challenges and solutions makes it clear that smart manufacturing systems require ongoing evaluation, not just a single assessment. Threats, infrastructure, and personnel all change over time, so an audit performed multiple years ago tells you very little about your risks today.

How Penetration Testing Helps

A security audit examines policies, documentation, and planning, but a deeper layer of assurance comes from actually testing those defenses under real conditions. This is where internal penetration testing plays a critical role. Instead of asking whether a firewall rule exists on paper, internal penetration testing simulates an attacker who has already gained access inside the network. This helps to reveal how far they could move, what data they could reach, and how quickly the organization would detect them.

This combination of auditing and testing is what separates a truly comprehensive security program from one that just appears strong. Documentation confirms that controls are designed correctly, while penetration testing confirms those controls hold up under pressure. Businesses that rely on only one approach are working with an incomplete picture of their own risk.

The Business Case for Security Audits

Cybersecurity audits can benefit your business in more ways than just enhancing security and preventative measures. Audits can also be a cost saver, provide extra selling points, and help your business stay ahead of regulatory requirements.

The Costs of Skipping an Audit

Some executives view security audits as simply a cost center with no direct return. However, that view completely undersells what an audit truly accomplishes. A data breach’s costs extend far beyond technical remediation, including regulatory fines, legal exposure, customer attrition, and reputational damage that can take years to repair. Up against those consequences, the cost of a thorough audit is modest, and the return comes by avoiding incidents altogether.

Security as a Selling Point

Routine security checks can also be leveraged as a selling point to provide a competitive advantage. Customers, particularly in regulated industries, often require vendors to prove their security measures before signing a contract. This means businesses with clean audits and a concrete testing program move through procurement faster and win business more easily than less prepared competitors. In certain ways, security has become a differentiator, not just a defensive tactic.

Staying Ahead of New Rules

The growing emphasis on security is becoming more prominent in national policies too. For example, coverage of national cybersecurity strategy in the United States emphasizes resilient and well-governed digital infrastructure as a matter of national security. Organizations that align with this direction are better positioned for whatever regulatory requirements come next, rather than catching up after new rules take effect.

How To Turn Audit Results into Stronger Defenses

1. Prioritize by risk: Rank findings by the damage they could cause instead of by how easy they are to fix.

2. Assign clear ownership: Put a name and a timeline on every issue, so no details fall through the cracks.

3. Confirm the results: Validate that fixes actually solved the problem through a follow-up review, not just a status update.

4. Combine assessment types: Pair compliance-focused audits with technical penetration tests to cover different blind spots.

5. Keep testing between audits: Continue regular vulnerability scanning and security awareness training even when audits come back clean.

6. Repeat the process regularly: Systems, staff, and vendors keep changing constantly, so results from last year may not be sufficient for telling how exposed the organization is right now.

Final Thoughts

Cybersecurity audits are one of the few tools that give leadership an honest, independently verified view of organizational risk. Although some may view them as a bureaucratic formality imposed by compliance requirements, security audits provide real value to organizations and prevent future problems from arising. Paired with rigorous testing that simulates real attacker behavior, audits transform security from a matter of hope into a matter of evidence. As costs continue to climb and customer expectations around data protection rise, investing in a strong audit program is one of the smartest decisions a business can make.

About the Author :

Ms. Nazy Fouladirad
President and COO – Tevora

Ms. Nazy Fouladirad is President and COO of Tevora, a global leading cybersecurity consultancy.

Ms. Nazy Fouladirad has dedicated her career to creating a more secure business and online environment for organizations across the country and world.

Ms. Nazy Fouladirad is passionate about serving her community and acts as a board member for a local nonprofit organization.

Ms. Nazy Fouladirad can be contacted at :

LinkedIn

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How organizations can transform manual processes into connected, data-driven operations

Businesses today generate enormous amounts of data every day – from production and quality records to HR information, maintenance activities, customer interactions, and operational KPIs.

But data alone does not create value.

The real advantage comes from digitization: transforming manual, paper-based, and disconnected processes into structured digital workflows that provide better visibility, faster decisions, and improved operational control.

What Is Digitization?

Digitization is the process of converting information and business activities from manual or traditional formats into digital systems.

It can include:

• Replacing paper records with digital workflows
• Moving from spreadsheets to centralized applications
• Automating repetitive tasks
• Connecting different business systems
• Creating real-time dashboards
• Using data analytics for better decisions
• Integrating systems such as ERP, QMS, HRMS, and SAP

The goal is not simply to “go digital.” The goal is to make business processes smarter and more connected.

Why Is Digitization Important?

Traditional processes often create information silos.

For example, one department may maintain data in Excel, another may use paper forms, while another operates through a separate software system. This makes it difficult for management to get a complete and accurate picture of business performance.

Digitization helps organizations create a connected flow of information.

Manual Data → Digital Data → Connected Systems → Real-Time Insights → Better Decisions

Key Benefits of Digitization

1. Improved Operational Efficiency

Digital workflows can reduce repetitive manual work, duplicate data entry, paperwork, and unnecessary follow-ups.

Employees can spend more time on activities that require analysis, problem-solving, and decision-making.

2. Real-Time Visibility

Dashboards and digital systems can provide managers with access to important KPIs and operational information without waiting for manual reports.

This enables faster identification of issues and quicker corrective action.

3. Better Data Accuracy

Manual data entry and spreadsheet-based processes can lead to errors, duplication, and inconsistent information.

Centralized digital systems can improve data consistency and traceability.

4. Faster Decision-Making

When reliable information is available at the right time, managers can make decisions based on actual data rather than assumptions or delayed reports.

5. Process Automation

Routine activities such as approvals, notifications, reminders, data collection, reporting, and task assignments can be automated.

Automation helps reduce delays and improves process discipline.

6. Connected Business Processes

Digitization can connect functions such as:

Quality → Production → Maintenance → Tooling → HR → Finance → Management

When systems communicate with each other, organizations gain a more complete view of operations.

Digitization in Manufacturing

Manufacturing organizations can benefit significantly from digitization.

Consider a quality process.

A traditional workflow may involve:

Paper Form → Excel Entry → Manual Analysis → Email Follow-Up → Delayed Action

A digital workflow can transform this into:

Digital Data Capture → Automated Analysis → Dashboard → Alert → Action Tracking → Management Insight

This creates a more responsive and transparent quality process.

Digitization + Data = Business Intelligence

One of the biggest advantages of digitization is the ability to turn operational data into actionable insights.

Organizations can track:

• Quality KPIs
• Production performance
• Maintenance indicators
• Employee metrics
• Tool utilization
• Process performance
• Cost trends
• Corrective actions
• Customer-related metrics

The objective is simple:

Don’t just collect data. Use it to improve decisions.

The Role of AI and Automation

Digitization also creates the foundation for advanced technologies such as AI, machine learning, intelligent chatbots, predictive analytics, and automated decision support.

However, organizations should first establish reliable digital processes and structured data.

Good Digital Foundation → Reliable Data → Automation → AI → Intelligent Decisions

Without quality data, even advanced AI solutions may produce limited business value.

The Future Is Connected

The next stage of digital transformation is not about implementing isolated software applications.

It is about creating an integrated digital ecosystem where systems, people, processes, and data work together.

Integration with platforms such as SAP, ERP, QMS, HRMS, HCM, maintenance systems, and other enterprise applications can help organizations create a unified flow of information.

Final Thoughts

Digitization is no longer simply an IT initiative. It is a business transformation opportunity.

Organizations that digitize intelligently can improve:

Efficiency | Visibility | Quality | Productivity | Compliance | Decision-Making

The journey starts by identifying manual, repetitive, disconnected processes and asking one important question:

“What if this process could be simpler, faster, and completely connected?”

That question could be the beginning of your organization’s digital transformation journey.

ISYRA — Enabling Smarter, Connected & Data-Driven Operations.

About the Author: 

Mr. Prasad Dixit
Founder & Consultant
iSyra

Mr. Prasad Dixit empowers organizations to digitize and optimize processes across all departments – finance, HR, supply chain, and more.

Mr. Prasad Dixit, with his 15+ years’ experience has delivered SAP, RPA, and custom solutions for manufacturing, automotive, and diverse sectors.

Recent projects of Mr. Prasad Dixit include automating processes, digitization of various enterprise processes, HR skill matrix digitization and launching a real-time analytics platform.

To drive Digital Reinvention contact Mr. Prasad Dixit.

Mr. Prasad Dixit can be contacted at :

LinkedIn | E-mail | Website 

About iSyra :

At iSyra, they believe in empowering organizations to achieve more through technology-driven transformation.

iSyra is a trusted partner in digital innovation, iSyra specialize in helping businesses of all sizes harness the power of modern technology to drive growth, efficiency, and competitive advantage.

iSyra expert team brings together deep industry knowledge and cutting-edge technical expertise to deliver tailored solutions in digital transformation, IT consulting, and business process optimization.

Whether you are looking to modernize your IT infrastructure, adopt cloud solutions, or streamline operations with automation, iSyra provides end-to-end support every step of the way.

iSyra is passionate about enabling clients to unlock new opportunities, overcome challenges, and stay ahead in a rapidly evolving digital landscape.

iSyra collaborative approach ensures that they understand your unique needs and deliver solutions that are scalable, secure, and future-ready.

At iSyra, they don’t just implement technology – they empower your people, processes, and vision for sustainable success.

Join iSyra on your journey to digital excellence and discover how innovation can transform your business.

iSyra can be contacted at:

LinkedIn | E-mail | Website | +91 – 99701 86543

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EVTOL: Navigating Certifications, Air Mobility Regulations, and Battery Energy Density

As per Vertex Market Research, the eVTOL Aircraft Market is poised for significant growth during the next decade. Global eVTOL Aircraft market is projected to achieve a Compound Annual Growth Rate (CAGR) of approximately 30% during the forecast period from 2026 to 2035.

In 2025, worldwide eVTOL Aircraft Market stood at around US$ 600 Million. The Global eVTOL Aircraft Market size is projected to reach an estimated US$ 18 Billion by 2035. Vertex projects the eVTOL aircraft unit sales estimated to cross 4,000 – 5,000 units by 2035, up from around 250 unit sales deliveries recorded in 2025 (consisting primarily of uncrewed autonomous platforms and military evaluation prototypes).

eVTOL Aircraft Market is driven by several structural drivers such as growing urbanization and increasing traffic congestion, and the rising demand for clean, efficient, and sustainable transportation modes. Technological advancements in electric propulsion systems and battery technologies, coupled with growing consumer demand for fast, efficient, and flexible point-to point urban mobility, are accelerating the adoption of eVTOL platforms.

Additionally, increasing ongoing public-private investments, and strategic collaborations are fueling product development and deployment. The eVTOL aircraft market is also benefiting from a growing range of applications, from air taxis and urban shuttle services to emergency medical transport, private aviation, leisure air tours, and defense and logistics use cases. The integration of vertiports, electric charging infrastructure, and smart city mobility ecosystems is further catalyzing the commercial rollout of eVTOL aircraft globally.

The 2026 Freeze Point

Many players within the eVTOL industry consider 2026 to be the crucial “freeze point” for eVTOL aircraft development. To meet intended 2027-28 launch dates, OEMs will need to firm up aircraft design and crucial technology decisions over the next twelve months. Future alterations to designs and technologies at a late stage of certification could compromise project timelines and costs significantly. Regulators are solidifying the certification standards and operational requirements for these new aircraft, and therefore manufactures have turned attention from aircraft design and development towards regulatory compliance, testing and certification, making 2026 a significant point for the transition.

The eVTOL regulation landscape is rapidly advancing as governments and aviation authorities work to implement clear paths for commercialization. In late 2025, Europe solidified its lead when EASA finalized certain components of its SC-VTOL certification scheme, offering aircraft manufacturers increased regulatory clarity during design and approval stages.

In March 2026, commercialization was pushed forward in the U.S. When the FAA selected six eVTOL companies including Joby and Archer to move forward into a second phase of its eIPP allowing pre-certified aircraft to begin operating in a controlled environment.

Increased global regulatory cooperation occurred in June 2026 when the FAA and EASA met to discuss the alignment of certification standards-a necessary precursor to allowing aircraft certified in one region to operate efficiently in another. China pushed its ambitions to lead advanced air mobility when revised civil aviation regulations will take effect in July 2026 mandating local governments to harmonize management of low-altitude air corridors and vertiports, ultimately promoting increased rollout speeds, reduced regulatory risks and greater opportunity for widespread eVTOL commercialization across the globe.

Battery Chemistry and Energy Density: The Key to eVTOL Scalability

Vertex states that the future growth of the eVTOL sector will be greatly determined by battery technology. Jet fuel provides a very high energy density, but current batteries offer a significantly lower energy density and therefore range, payload capacity and operational efficiency. One difficulty in operating eVTOL craft is that there are two distinct power requirements – one to provide a high power burst for landing, takeoff and hovering and another for sustainable, efficient flight (cruise flight). Conventional battery chemistries are unable to provide both a high power and energy density simultaneously, prompting eVTOL manufacturers to develop a combination of different battery chemistries, with one system used for landing, takeoff and hovering flight, and another used for cruise flight.

As per Vertex Market Research, the eVTOL technology road-map indicates a steady increase in battery energy densities; current aviation-grade lithium ion batteries achieve energy densities in the range 250-300Wh/kg and are capable of short-range operations. The arrival of semi-solid state and silicon-anode batteries with higher energy densities of 300-350Wh/kg are projected to deliver a 30-50% increase in range. Further ahead, solid-state and lithium-metal batteries with predicted energy densities exceeding 400-500Wh/kg may deliver substantial increases in flight range, higher payloads and improved economics. Overall, battery innovation should prove one of the most critical enablers for large-scale eVTOL commercialization and fleet development up to 2035.

EVTOL Market Concentration and Competitive Landscape

As per Vertex, the Global eVTOL Aircraft Market is segmented based on System Component, Lift Design & Configuration, Propulsion Type, Mode of Operation, Range, Maximum Take-Off Weight (MTOW), and Application. By System Component, the market comprises Aerostructures & Interiors, Avionics, Batteries & Cells, Electric Motors & Engines, Software & Platforms, and Other Systems. Based on Lift Design & Configuration, it is categorized into Multirotor, Lift + Cruise, Vector Thrust, and Other Configurations. By Propulsion Type, the market includes Battery Electric, Hybrid Electric, and Hydrogen Electric aircraft.

Based on Mode of Operation, the market is segmented into Piloted, Semi-Autonomous, and Autonomous platforms, while Range is classified into Up to 200 km and Above 200 km. By MTOW, the market is divided into Up to 500 kg, 501–1,500 kg, and Above 1,500 kg aircraft. Based on Application, the market covers Air Taxis, Air Shuttles & Air Metros, Private Transport, Air Ambulance & Medical Emergency Services, Leisure & Recreational Flights, and Other Applications, reflecting the industry’s broadening commercial use cases.

Innovation and strategic alliances are rapidly reshaping the Global eVTOL Aircraft Market as firms strive to reach certification, develop scaled manufacturing, and commence commercial operations. Key participants include Archer Aviation, ARC Aero Systems, AutoFlight, BETA Technologies, EHang, Electra Aero, Eve Air Mobility, Jaunt Air Mobility, Joby Aviation, LIFT Aircraft, Manta Aircraft, Sarla Aviation, SkyDrive, The ePlane Company, Vertical Aerospace, Volant Aerotech, Wisk Aero, and XTI Aerospace, which are heavily investing in obtaining aircraft certifications, developing battery technology, enabling autonomous flight, scaling manufacturing processes and forging commercial ties with airlines, infrastructure companies, and mobility service operators. Investments and technology partnerships continue to define competition in this rapidly evolving sector as it moves from concept development to full commercial application.

In contrast, the market is extremely challenging, with multiple leading developers not able to keep on commercially developing its product for long term. Several eVTOL programs have been abandoned, suspended, or driven to bankruptcy because of lacking funding, delays in certification, technical complexities, or not clear commercial feasibility. There have been a number of setbacks such as Lilium, Volocopter, Overair, Supernal (Hyundai), Urban Air Mobility programs (Airbus), Nexus program (Textron), Urban Aeronautics and Kitty Hawk, which underscore the extensive funding required, regulatory complexities, and execution risks associated with bringing eVTOLs from concept to commercial operation.

About Vertex Market Research

Vertex Market Research is a trusted and reliable market intelligence and consulting firm headquartered in Australia, with research and sales operations across the United States and India. We deliver high-quality market insights, industry analysis, and customized research solutions that help businesses make informed strategic decisions.

Recognized as a reputable source for market research, Vertex Market Research is committed to accuracy, transparency, and data-driven excellence. Our team of experienced analysts and industry experts provides actionable intelligence across diverse sectors, empowering organizations worldwide to identify opportunities, mitigate risks, and achieve sustainable growth.

Vertex Market Research & Consulting (VMRC) is a one-stop destination for your all research requirements. We are a market intelligence and consulting firm with comprehensive experience and rich knowledge of the market research business intelligence, and advisory industry.

Vertex Market Research & Consulting (VMRC) has a vast repository of the latest market research reports, and top company profiles, along with the latest market statistics released by our dedicated industry experts. Our vast repository of research reports across various categories gives you a complete view of the ever-evolving trends and current topics worldwide.

At Vertex Market Research & Consulting (VMRC) the data bank is monitored by teams of subject matter experts which are validated by various statistical data and trending content.

Being a reliable market research company, Vertex Market Research & Consulting (VMRC) guarantee readers of reliable information based on the study of factual data of the past, and present scenarios of the market.

What Vertex Market Research & Consulting (VMRC) Do – Our Services :

Vertex helps clients make informed business decisions. Vertex offers market intelligence research ensuring relevant and fact-based research across a range of industries including chemicals, materials, energy, healthcare, and technology.

Vertex Market Research & Consulting (VMRC) to be Contacted at :

LinkedIn | Email | Website

Mobile : +91-99750 17086 , WhatsApp : +91 – 99750 17086

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Garbage, for most investors and business leaders, remains one of India’s least examined infrastructure stories. Yet beneath the country’s approximately 62 million tonnes of municipal solid waste generated every year, a resource-recovery industry projected to reach nearly USD 12 billion by 2030 is taking shape. The businesses that learn to design and integrate this system, rather than merely service individual parts of it, could define the sector’s next decade.

When we decided to dedicate this year’s edition of LogiPulse to waste management, a few people quietly raised an eyebrow. Logistics and supply chains were readily accepted as serious commercial subjects, but waste was still seen mainly as a sanitation or environmental issue. That reaction convinced us that the sector deserved closer attention. Across conversations with investors, operators and policymakers, we repeatedly encountered the same underlying problem: regulations existed, capital was available and technology could be sourced, but the operating system connecting these elements was incomplete.

A manufacturer could not fulfil its Extended Producer Responsibility obligation because there was no authorised recycler within an economically viable distance. A hospital was paying a substantial premium for biomedical-waste disposal because the nearest Common Biomedical Waste Treatment Facility was three districts away. A waste-to-energy project had capital, technology and a municipal contract, but poor feedstock quality restricted the plant to approximately 40% of its designed capacity. The problem was not a lack of intent or investment. The system architecture was broken.

The global context makes this failure more striking. The world generates nearly 2.24 billion tonnes of municipal solid waste annually, but less than one-fifth undergoes meaningful recovery. The recoverable value permanently destroyed, including metals, plastics, organics and rare earths, is estimated at USD 80–120 billion every year. At the same time, the global waste-management industry is valued at approximately USD 2.08 trillion. An industry of this scale spends enormous capital on collection, transportation and disposal while recovering only a fraction of the value embedded in the material it handles. This is no longer merely an operational-efficiency issue; it is a systems-level design failure and, simultaneously, one of the largest untapped opportunities within the circular economy.

India presents a particularly important paradox. The country has established the Solid Waste Management Rules 2016, E-Waste Management Rules 2022, Biomedical Waste Management Rules 2016, Plastic Waste Management Rules 2022 and Battery Waste Management Rules 2022. Yet only around 30% of municipal solid waste undergoes formal processing. The regulatory architecture is substantially in place, but the enforcement and processing infrastructure required to activate it remains inadequate. Formal capacity being developed today is therefore being built ahead of a demand wave that regulation has already created, but has not yet fully delivered.

International experience shows that technology alone does not determine performance. Germany recovers approximately 67% of materials and has made landfill use almost negligible, while the European Union average is close to 48%, supported by formal collection exceeding 90%. The difference lies in consequence-driven enforcement, producer accountability through EPR, sustained infrastructure investment and the integration of informal workers into the formal system. These are the institutional foundations on which recovery technologies become economically effective.

India’s waste value chain is fragmented across segregation, collection, transfer, sorting, processing and final disposal. These activities are managed by different institutions operating with different incentives, data systems and performance measures. A weakness at one stage degrades the economics of every stage that follows. The annual losses identified in our analysis include USD 8–12 billion of material value from inadequate source segregation, USD 1.5–3 billion of revenue from the collection gap, USD 1–1.5 billion of avoidable transfer and transportation costs, USD 1.5–2 billion from sorting and Material Recovery Facility discounts, USD 0.7–1.2 billion from processing assets operating at only 40–60% utilisation, and more than USD 2.4 billion in deferred liabilities arising from non-compliant disposal sites.

The most important intervention is source segregation. When organic waste is mixed with dry recyclable material at the point of generation, contamination progressively becomes irreversible. India’s urban source-segregation compliance rate is approximately 45%. Every 10-percentage-point improvement in compliance can reduce downstream processing costs by 15–20%, while simultaneously increasing the value of recovered material. This demonstrates why processing plants cannot be evaluated independently of their upstream collection and feedstock architecture.

The sector’s economics are equally counterintuitive. The most visible activities are not necessarily the most profitable. Collection and transportation generally operate at EBITDA margins of 5–10%. Margins rise to 15–25% in Material Recovery Facilities, 20–30% in waste-to-energy, 25–40% in e-waste processing, and 30–40% in pharmaceutical and biomedical waste management. Technology platforms and the integration layer can potentially generate margins exceeding 40% at scale. Mid-chain recovery opportunities, including e-waste, biomedical waste, battery recycling, MRF networks and EPR-compliance platforms, offer indicative target IRRs ranging from 22% to 40%.

E-waste illustrates this value-recovery opportunity particularly clearly. Global e-waste generation reached approximately 62 million tonnes in 2022, growing at 4–5% annually, while only 22.3% was formally collected and recycled. India generates around 3.2 million tonnes of e-waste each year, making it the world’s third-largest generator. This annual stream contains more than USD 2.4 billion of embedded recoverable value at 2025 prices, yet formal recyclers capture less than 20% of it.

The concentration of recoverable metals is remarkable. Mobile phones contain approximately 0.4 kilograms of gold per tonne of devices, compared with only 1–4 grams per tonne of mined gold ore. Urban mining can therefore offer gold concentrations 50–100 times higher than conventional mining. The decisive competitive differentiator is processing technology: hydrometallurgical systems can achieve gold recovery rates of 95–99%, compared with 60–80% through conventional smelting. When this capability is combined with EPR-backed processing fees, the resulting business model becomes more defensible. Compliance revenue can form the base case, while recovered-metal sales provide commodity-linked upside.

Attero Recycling provides an operating example of this model, with 500,000 tonnes of licensed capacity, more than 250 EPR clients across 12 export markets, and a hydrometallurgical processing backbone. Its significance lies not merely in scale, but in the combination of technology, regulatory compliance and multiple revenue streams.

Battery recycling is the next extension of the urban-mining opportunity. The first substantial wave of end-of-life electric-vehicle batteries is expected between 2028 and 2032. Operators investing in lithium-ion recycling capacity today are positioning themselves ahead of a regulation-driven feedstock cycle that is likely to expand significantly. The estimated window to build ahead of this wave is only three to four years. Early investment can create advantages in technology, approvals, feedstock relationships and EPR-compliance infrastructure.

Waste-to-energy presents a different investment proposition. India currently has 14 operational plants against an estimated requirement of more than 200, while utilisation of available potential remains at approximately 6%. The bottleneck is not simply capital or technology; it is the sequence in which infrastructure is being developed and the quality of contractual risk allocation.

Mixed Indian municipal waste frequently has calorific value below 1,200 kcal per kilogram, while most plants require approximately 1,500–2,000 kcal per kilogram. Large-scale energy conversion cannot operate reliably unless segregation and Refuse-Derived Fuel preprocessing are established first. RDF also creates an independent off-take opportunity through the cement industry, which is targeting a 25% thermal substitution rate by 2030. Municipal concessions must additionally provide longer tenors, indexed tipping fees, assured feedstock standards and enforceable payment-security mechanisms. Waste-to-energy is therefore best understood as a sequencing and contract-design challenge, rather than merely a technology problem.

Biomedical and pharmaceutical waste have a more structurally protected demand profile. India generates approximately 800–900 tonnes of biomedical waste every day, with volumes growing at 7–8% annually. Around 198 Common Biomedical Waste Treatment Facilities are registered, although the gap between registration and active operation remains significant outside major cities.

Hospitals cannot avoid generating biomedical waste, nor can they use informal disposal channels without exposure to criminal liability. Standard biomedical waste commands approximately ₹8–15 per kilogram, while specialised pharmaceutical streams, including cytotoxic compounds, hormones and expired injectables, command ₹25–50 per kilogram. The authorisation process for a new treatment facility takes approximately 18–24 months, creating a meaningful regulatory moat. Consequently, EBITDA margins of 30–40% among leading facilities are not merely the result of exceptional operating performance; they are supported by captive demand, route density, compliance-led pricing and high barriers to entry.

Technology is also changing the economics of the entire chain. AI-based route optimisation has produced 20–25% savings in fuel and maintenance in Indian smart-city pilots. IoT-enabled bins have improved collection efficiency by 20–40% and reduced overflow incidents by 60–70%. AI-driven optical sorters can process more than 80 items per minute with accuracy exceeding 95%, while blockchain-based EPR traceability is improving the credibility of compliance certificates and could eventually enable them to develop into tradeable financial instruments.

The larger opportunity, however, is not any single technology. It is the integration layer connecting material-flow tracking, incentive coordination, compliance management, processing capacity and data monetisation within one operating architecture. The future waste-management company may resemble a technology and financial-information platform that also manages the physical movement of material. The data generated by that network could ultimately become more valuable than the tipping fees collected.

The risks should not be underestimated. Feedstock quality remains the highest-probability and highest-impact risk across waste-to-energy, composting, RDF and MRFs. Municipal contracts can weaken otherwise viable projects through inadequate tenors, poor tariff design and uncertain payment security. Technology investments may underperform in operating environments without adequate training and accountability. Non-EPR e-waste and battery-recycling volumes remain exposed to commodity prices, while poorly planned formalisation can displace informal workers without securing the collection networks they currently support.

None of these risks is a structural reason to avoid the sector. They are reasons to design investments more carefully. Stronger models will secure feedstock before deploying capacity, build close to regulatory moats, treat compliance-linked income as the base case, structure commodity revenue as upside and create long-term contractual protection around capital-intensive assets.

India does not require another round of broad regulation. It requires credible enforcement, wider development of transfer stations and systematic replication of successful municipal systems such as the Indore model. For operators, the economically sound sequence is to begin with high-value recovery and then integrate backwards to secure feedstock. For capital providers, the opportunity lies in identifying where regulatory demand, infrastructure scarcity, processing capability and data ownership converge.

The fundamental shift is from waste handling to system integration, from compliance administration to capital formation, and from treating discarded material as a disposal problem to designing it as a resource-recovery system. The companies and cities that make this transition first will not merely participate in India’s waste economy. They will shape how it operates for the next several decades.

About the Author :

Mr. Sanjeev Jain  
Managing Partner,
Amicus Growth Advisors  

Mr. Sanjeev Jain is a Fellow Chartered Accountant and Registered Insolvency Professional with over 30 years of strategic finance and governance leadership across logistics, telecom, manufacturing, and infrastructure.

As former CFO of GATI and AFL / FedEx, Mr. Sanjeev Jain has led EBITDA improvement, business transformation, and operational efficiency programs for mid-to-large enterprises, and brings strong expertise in financial strategy, M&A, dispute resolution, and regulatory matters.

As Managing Partner at Amicus Growth Advisors, Mr. Sanjeev Jain leads CFO and Board Advisory engagements covering turnarounds, fundraising and investor relations, due diligence, and performance improvement.

Mr. Sanjeev Jain also serves on the boards of high-growth companies in the logistics and infrastructure sectors, supporting long-term strategy and value creation for promoters and leadership teams.

Mr. Sanjeev Jain can be contacted at:

LinkedIn | Email | Website

About Amicus Growth Advisors :

At Amicus Growth Advisors, we help businesses unlock growth, improve performance, and build lasting value.

From business transformation and operational turnaround to M&A, fundraising, and board advisory, Amicus Growth Advisors partner closely with founders, boards, and investors to navigate complexity and deliver measurable results.

With decades of experience across logistics, manufacturing, infrastructure, and services, Amicus Growth Advisors team combines strategic insight with hands-on execution.

Whether you’re scaling up, restructuring, or preparing for your next phase of growth, Amicus Growth Advisors is there to help you move forward with clarity and confidence.

Amicus Growth Advisors can be contacted at :

Website | E-mail | LinkedIn | Instagram | Facebook | WhatsApp | Phone : +91 98200 75360

The post The Waste Economy appeared first on Industry4o.com.

Why Behavioural Economics is Reshaping Customer Experience in Payments

“People don’t just want better payments. They want payments that feel effortless, immediate, and certain.”

The Age of Immediacy

Today’s consumers live in an economy built around immediacy. They stream movies instantly, order groceries with a tap, hail rides within minutes, and receive real-time updates on everything from deliveries to investments. Digital leaders such as Amazon, Netflix, Uber, and WhatsApp have fundamentally changed consumer expectations by eliminating waiting and making convenience the default.

Financial services are no exception. Consumers no longer compare one bank transfer with another they compare the experience of making a payment with every seamless digital interaction they have throughout the day. In this new reality, speed is no longer viewed as a premium feature; it is an expected part of the customer experience.

As Amazon founder Jeff Bezos famously observed, “Customers are beautifully, wonderfully dissatisfied.” Customer expectations are constantly evolving, and today’s benchmark is no longer the banking industry, it’s the broader digital economy.

Behavioural Economics: Understanding Why Instant Payments matter so much

Traditional economics assumes that consumers make rational decisions based on price and utility. Behavioural economics tells a different story.

People are influenced by emotion, habit, convenience, perceived risk, and immediate rewards. Nobel Prize-winning research by Daniel Kahneman and Richard Thaler, along with decades of behavioural science, demonstrates that people frequently value how an experience feels as much as its functional outcome.

This is precisely why instant payments have become so powerful. Customers don’t simply value speed—they value:

• Certainty
• Simplicity
• Convenience
• Immediate gratification

Instant payments deliver all four simultaneously.

Rather than merely moving money faster, they remove waiting, eliminate uncertainty, and provide immediate confirmation that a transaction has been completed successfully. The result is a payment experience that feels effortless and trustworthy.

Instant Gratification: A Fundamental Human Preference

One of the best-known principles in behavioural economics is Present Bias, the tendency for people to place greater value on immediate rewards than future benefits. Consumers naturally prefer:

• instant confirmation over delayed settlement
• immediate access over waiting
• certainty over ambiguity

This explains why instant payments resonate so strongly. Receiving payment in seconds satisfies a deeply rooted psychological preference for immediate outcomes. Instead of wondering whether a transaction has been processed, customers receive instant confirmation, creating reassurance and reinforcing trust.

Speed therefore becomes much more than an operational metric—it becomes a driver of customer satisfaction.

Payments Are Psychological, Not Just Financial

Research increasingly shows that payment methods influence consumer psychology. In The Psychology of Money, Morgan Housel argues that financial decisions are rarely driven by logic alone—they are shaped by psychology, emotions, habits, and personal experiences. People don’t simply seek financial efficiency; they seek experiences that make them feel confident, in control, and secure. This perspective provides a powerful lens through which to understand the rapid adoption of instant payments.

Instant payments succeed because they align with the way people naturally think about money. Consumers value certainty over uncertainty, convenience over complexity, and immediate outcomes over delayed gratification. Receiving confirmation that money has been sent or received within seconds creates reassurance, reduces anxiety, and reinforces trust. As Housel suggests, success with money is fundamentally about behaviour, and the same is true for payment systems. The most successful payment platforms are those designed around human behaviour rather than technology alone.

One emerging concept, “Spendception,” describes how digital payments reduce the psychological barriers associated with spending by making transactions less visible, more intuitive, and virtually effortless.

Unlike cash, which creates a tangible “pain of paying,” digital and instant payments minimize cognitive effort. Customers no longer need to think about payment mechanics, they simply complete the transaction and move on. For banks and payment providers, this represents a profound shift. The competitive advantage is no longer just faster processing, it feels easier.

Charlie Munger’s Mental Model: The Power of Immediate Rewards

Charlie Munger frequently argued that human beings are naturally wired to seek immediate rewards over delayed gratification. His famous observation captures the importance of behavioural incentives:

“Never, ever, think about something else when you should be thinking about the power of incentives.”

Instant payments are a perfect example.

• The incentive isn’t simply faster settlement.
• The incentive is immediate certainty.
• The incentive is eliminating anxiety.
• The incentive is removing friction.

Every successful digital payment ecosystem understands this principle

Each row pairs a Munger principle (purple) with its digital payments parallel (teal), flowing left to right. But the real insight is what happens at the bottom, all four dynamics feed into a single outcome (coral): a self-reinforcing adoption loop.

The Behavioural Economics of Instant Payments

Behavioural economics helps explain why instant payments have become a customer expectation rather than simply a technological innovation.

Today, customers don’t judge their bank’s payment experience against another bank anymore. They compare it with the apps they use every day—buying something on Amazon with one click, paying for an Uber without thinking about it, tapping their phone with Apple Pay, subscribing to Netflix in seconds, or sending a message on WhatsApp that gets delivered instantly. These experiences have changed what people expect. They want payments to be just as fast, simple, and effortless. That’s why instant payments are no longer a nice-to-have—they’ve become the standard customers expect.

Global Examples of Behavioural Change

Around the world, successful payment systems demonstrate how reducing friction changes customer behaviour.

Conclusion

Instant payments represent far more than a technological advancement; they are a behavioural innovation. By aligning with fundamental principles of human psychology such as immediacy, certainty, and simplicity, they transform payments into a powerful driver of customer experience, trust, and digital adoption. As customer expectations continue to evolve, institutions that design payment experiences around human behaviour, rather than technology alone, will be best positioned to build lasting loyalty and competitive advantage.

About the Authors : 

Ms. Sudha Rawat Talwar 
Payments Advisor,
IBM Consulting

Ms. Sudha Rawat Talwar is passionate about driving value for Payments businesses, delivering agile program execution, go-to-market strategy, and innovative payment solutions across international markets.

With close to two decades of global experience, Ms. Sudha Rawat Talwar have led and contributed to large-scale payment transformation initiatives supporting multi-region deployments, enabling faster time-to-market, improved operational efficiency, inclusion and increased adoption of digital payment capabilities.

Ms. Sudha Rawat Talwar brings strong Go-to-market offering, and market-entry expertise to position products and services effectively, align solutions with customer and business needs, and drive multi-million revenue growth.

Previously at Oracle India Pvt Ltd, Ms. Sudha Rawat Talwar has built a strong foundation in enterprise technology, client-focused solutions, and global stakeholder engagement.

Passionate about driving collaboration and innovation, Ms. Sudha Rawat Talwar‘s focus on optimizing processes, scaling global solutions, and delivering measurable, market-ready outcomes in payment systems transformations.

Ms. Sudha Rawat Talwar can be contacted at :

LinkedIn

Mr. Raja Basu
Client Delivery & GTM – Financial Services,
IBM Consulting

Mr. Raja Basu is a Senior Consulting professional in a leading MNC.

Mr. Raja Basu works as a business architect and helps global banking and financial markets clients to enable their digital transformation journey.

Mr. Raja Basu has special interest in responsible use of AI and sustainability.

Mr. Raja Basu is also pursuing his doctoral studies (PhD) from XLRI Jamshedpur.

Mr. Raja Basu is based out of Kolkata, India.

Mr. Raja Basu is an experienced leader in both technology and business, he has a proven track record of defining and implementing technology-driven transformations for clients in the global banking and financial markets.

Mr. Raja Basu focus lies in automation, particularly artificial intelligence (AI), and its impact on climate and sustainability (SCR).

Mr. Raja Basu possess a deep understanding of value-driven advisory practices, which have played a significant role in building strong client relationships. Throughout his career, he has actively contributed to numerous transformation programs involving complex applications for international clients across the United States, Canada, Europe, and Singapore.

Mr. Raja Basu is Bestowed with the following Licenses & Certifications :

https://www.linkedin.com/in/basuraja/details/certifications/

Mr. Raja Basu is Volunteering in the following International Associations & Institutions :

https://www.linkedin.com/in/basuraja/details/volunteering-experiences/

Mr. Raja Basu is Accorded with the following Honors & Awards :

https://www.linkedin.com/in/basuraja/details/honors/

Mr. Raja Basu can be contacted at :

E-mail | LinkedIn

Also read Mr. Raja Basu’s earlier article :

The post Instant Payments appeared first on Industry4o.com.

Over the last few months, I have been closely observing the evolution of Artificial Intelligence, Robotics, Cloud Computing, Quantum Computing, and Sustainable Energy. While many people view these as separate industries, I believe they are becoming one interconnected technology ecosystem that will define the next several decades of economic growth.

At the same time, a second reality is emerging.

The AI conversation is shifting away from blind excitement and toward practical business value. We are moving from experimentation to execution, from hype to measurable outcomes, and from isolated innovation to integrated transformation.

The organizations that understand this shift early will become the leaders of the next industrial revolution.

The AI Industry Is Growing Up

For the last few years, AI discussions were dominated by possibilities:

Today, the market is becoming more realistic.

Business leaders are asking new questions:

These questions are healthy because true technological transformation is never about hype. It is about sustainable value creation.

The companies winning today are not necessarily deploying the most advanced AI models. They are deploying AI where it delivers measurable business outcomes.

The Two Realities of AI: Bottlenecks and Breakthroughs

We are witnessing two parallel realities.

Reality 1: The Bottlenecks

Cost Pressures

Organizations are discovering that running advanced AI models at scale is expensive.

Many enterprises are now evaluating whether they should rely on external AI providers or build optimized models internally.

The industry is rapidly moving toward:

The question is no longer “Can AI do this?”

The question is:

“Can AI do this profitably?”

Agentic AI Is Progressing More Slowly Than Expected

Fully autonomous agents remain a huge opportunity, yet real-world deployment continues to face challenges:

Businesses operating in healthcare, financial services, manufacturing, and logistics cannot afford costly mistakes.

As a result, many organizations are adopting a Human + AI model rather than complete automation.

Enterprise Caution

Large companies are becoming more selective about where AI can be trusted.

Critical functions still require:

This does not mean AI is failing.

It means AI is maturing.

Reality 2: The Breakthroughs

While challenges exist, innovation continues at unprecedented speed.

Scientific Discovery

AI is increasingly accelerating scientific research.

Material discovery, drug development, climate modeling, and advanced simulations are now benefiting from AI-powered analysis that can reduce years of research into significantly shorter cycles.

Mass Adoption

For the first time in history, AI capabilities are reaching billions of users through platforms they already use daily.

This creates a powerful feedback loop:

• More users
• More data
• Better models
• Faster innovation

Next-Generation Models

AI models continue to improve in:

The future is not about one giant model.

The future is about ecosystems of specialized intelligence working together.

The Ultimate Technology Value Chain

Many investors and business leaders examine AI, Cloud, Quantum Computing, and Sustainable Energy independently.

I believe this is a mistake.

These technologies form a single value chain.

AI & Robotics: The Brain and Hands

AI provides intelligence.

Robotics provides execution.

Together they create physical automation capable of working in factories, warehouses, hospitals, farms, and homes.

Future robots will not simply follow programmed instructions.

They will:

Just like human workers.

Cloud Computing: The Nervous System

Advanced AI requires massive computational resources.

Most enterprises cannot host these capabilities locally.

Cloud infrastructure provides:

Without the cloud, modern AI cannot operate at enterprise scale.

Cloud is the digital nervous system connecting everything.

Quantum Computing: The Accelerator

As AI models become larger and more sophisticated, classical computing eventually faces limitations.

Quantum computing represents the next major leap in processing capability.

Potential applications include:

Quantum computing may not replace classical computing soon, but it will significantly accelerate solving the world’s most complex problems.

Sustainable Energy: The Foundation

This is perhaps the most overlooked part of the technology revolution.

Every AI model, cloud data center, and future quantum computer consumes enormous amounts of energy.

Without sustainable energy, technological growth becomes unsustainable.

That is why global technology companies are investing heavily in:

Sustainable Energy is not a separate industry anymore.

It is becoming the foundation of the digital economy.

The Missing Piece: Cultural Intelligence

One area that receives far less attention is cultural adaptation.

Technology often assumes a standardized global user.

Human behavior does not work that way.

Consider something as simple as eating a meal.

Different regions use:

A robot trained on generic global data may perform impressively in a laboratory but fail immediately in a local household environment.

The future of AI will not belong only to the companies with the most data.

It will belong to the companies with the most relevant data.

Why Local Intelligence Matters

For AI and robotics to truly become universal, three major developments are required:

1⃣ Integrated AI Ecosystems

Today’s technology landscape is fragmented.

Imagine combining:

The productivity gains could be extraordinary.

2⃣ Real-Time Validation Systems

Future AI systems must continuously evaluate their own decisions.

This means:

Trustworthy AI will outperform merely powerful AI.

3⃣ Hyperlocal Data Infrastructure

The world needs more:

True intelligence is contextual.

Global intelligence without local understanding remains incomplete.

India’s AI Opportunity

India stands at a remarkable crossroads.

With over 1.4 billion people, millions of businesses, and one of the world’s most vibrant digital ecosystems, the opportunity is enormous.

Yet AI adoption remains relatively early compared to its full potential.

Many organizations are still limiting AI usage to:

The next stage will be enterprise-wide transformation.

Where India Can Leapfrog

Manufacturing

Healthcare

Retail

Logistics

Enterprise Functions

The opportunity is not simply AI adoption.

It is AI-driven business transformation.

The Leadership Challenge

The future does not belong solely to data scientists.

It belongs to leaders who can connect:

Technology alone does not create value.

Business outcomes create value.

The leaders who understand both technology and business transformation will become the architects of the next growth cycle.

Final Thoughts

We are entering a new era where AI, Robotics, Cloud Computing, Quantum Computing, and Sustainable Energy are converging into one interconnected ecosystem.

At the same time, success will require more than technology.

It will require:

The biggest winners of the next decade will not be those chasing every new technology trend.

They will be those who understand how all these technologies work together to solve real-world problems at scale.

The future is not AI alone.

The future is the intelligent integration of technology, energy, infrastructure, and human understanding.

About the Author :

Mr. Chandrakumar T 
Enterprise Sales Leader
Honeywell Technologies

Mr. Chandrakumar is an Enterprise Sales Leader with 20+ years of experience helping organizations accelerate growth through telecom, IT infrastructure, AIDC, and automation solutions.

Mr. Chandrakumar has partnered with 60+ strategic enterprise accounts across India, consistently achieving 100–120% of quota targets while building long-term, trust-based relationships.

Mr. Chandrakumar approach blends proven sales methodologies such as Challenger Sale and Miller Heiman with deep expertise in SaaS, cloud, and cybersecurity platforms.

Mr. Chandrakumaris passionate about translating complex technologies into business outcomes that improve efficiency, reduce costs, and create measurable value for customers.

Mr. Chandrakumar believes in being a trusted advisor to customers – guiding them through digital transformation journeys and enabling sustainable success.

Mr. Chandrakumar actively share insights on automation, SaaS, and enterprise sales strategies, engaging with peers, customers, and industry leaders to exchange ideas and best practices.

Mr. Chandrakumar is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/chandrakumar-t-b495bb22/details/certifications/

Mr. Chandrakumar can be contacted at :

LinkedIn | E-mail | Website 

#ArtificialIntelligence #AI #MachineLearning #GenerativeAI #Robotics #CloudComputing #QuantumComputing #SustainableEnergy #DigitalTransformation #ERP #SaaS #Automation #Industry40 #Industry50 #Innovation #FutureOfTech #TechStrategy #DeepTech #CleanTech #Infrastructure #Leadership #BusinessTransformation #IndiaGrowthStory #Technology #TechTrends

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Artificial intelligence is becoming one of the most important forces in healthcare. Every day, we see new models, new tools, and new promises about how AI can support diagnosis, reduce workload, improve patient care, and transform clinical operations.

But as healthcare leaders, engineers, researchers, and clinicians look toward the future, one question matters more than ever:

Are we building AI systems that simply produce answers, or are we building systems that truly understand the patient journey?

This distinction is important.

Healthcare is not just a data problem. It is a context problem.

A patient is not defined by one lab result, one diagnosis code, one medication, or one clinical note. A patient’s health story is built over time through many connected signals: lab trends, symptoms, medications, procedures, diagnoses, vitals, imaging reports, provider notes, and changes that may happen slowly across months or years.

In many healthcare systems, this information exists, but it is often fragmented. One part may sit inside an electronic health record. Another may be hidden in clinical notes. Another may appear in lab reports, claims, medication history, or previous encounters.

The challenge is not only collecting this data.

The challenge is connecting it in a meaningful way.

That is where the next generation of healthcare AI needs to evolve.

Prediction Alone Is Not Enough

Many AI systems today are designed to predict risk. They may predict the likelihood of disease, hospital readmission, adverse events, or clinical deterioration.

Prediction is valuable, but in healthcare, prediction alone is not enough.

If an AI system says, “This patient is at high risk,” the clinician still needs to know:

Why is this patient at risk?
Which clinical signals contributed to that risk?
How did the patient’s condition change over time?
Are the lab trends, medications, and diagnoses connected?
Is this a temporary abnormality or part of a larger pattern?
Can the explanation be trusted?

Without clear reasoning, AI becomes difficult to use in real clinical workflows.

Healthcare decisions require trust. Trust requires transparency. And transparency requires more than a final answer.

It requires explanation.

This is why the future of healthcare AI should focus not only on prediction, but also on clinical understanding.

The Patient Story Matters

In real healthcare, timing matters.

A lab value from today may look normal when viewed alone, but when compared with results from the past five years, it may reveal a slow decline. A medication may seem unrelated until it is connected with symptoms, abnormal lab results, and prior diagnoses. A clinical note may contain an early warning sign that does not appear clearly in structured data.

This is especially important in conditions such as chronic kidney disease, sepsis, oncology, adverse drug events, and long-term disease progression.

These conditions are rarely understood from one data point. They require a broader view.

They require systems that can look across time.

This is where longitudinal patient intelligence becomes powerful.

A strong healthcare AI system should be able to analyze how a patient’s health has changed over time, identify patterns, connect related events, and present those insights in a way that clinicians can understand quickly.

The goal is not to replace clinical judgment.

The goal is to support it.

 Why Knowledge Graphs Matter in Healthcare AI

One of the biggest opportunities in healthcare AI is the use of knowledge graphs.

A knowledge graph can help connect different parts of a patient’s clinical history. Instead of treating each data point separately, it can represent relationships between patients, conditions, lab results, medications, procedures, symptoms, and clinical events.

For example, a patient may have a history of diabetes, hypertension, changing kidney function, medication adjustments, and abnormal lab values. Individually, these details may appear across different systems. But together, they can form a meaningful clinical pattern.

A knowledge graph helps AI understand these relationships more clearly.

It gives structure to complex healthcare data.

It allows the system to answer not just “what happened,” but also “how things are connected.”

This is important because healthcare is relationship-driven. Conditions influence medications. Medications influence lab results. Lab trends influence risk. Past diagnoses influence future outcomes.

When AI systems can understand these connections, they become more useful, more explainable, and more aligned with how clinicians think.

The Role of Small Language Models

Large language models have shown impressive capabilities, but healthcare does not always need the largest model for every task.

In many clinical workflows, focused and efficient models can be more practical.

Small language models can be designed for specific healthcare use cases, such as extracting clinical entities, summarizing patient risk, identifying medication-related concerns, or generating clinician-readable explanations.

They can also be more cost-effective, easier to control, and better suited for regulated environments when designed properly.

The future may not be one large model doing everything.

It may be a system of specialized models working together, supported by clinical rules, knowledge graphs, retrieval systems, validation layers, and human oversight.

This approach can make healthcare AI more reliable.

It can also reduce hallucination, improve traceability, and make the system easier to evaluate.

AI Should Explain in Human Language

One of the most important parts of healthcare AI is communication.

Clinicians do not need a system that simply returns a score.

They need a system that explains the reason behind the score.

A useful AI system should be able to say:

The patient’s risk appears elevated because kidney function has declined over multiple lab cycles, blood pressure has remained high, and there is a history of diabetes that may contribute to disease progression.

That type of explanation is far more useful than a number alone.

Healthcare AI should translate complex data into clear clinical narratives.

It should help clinicians see the key signals faster.

It should reduce the time spent searching across disconnected records.

It should bring important patterns to the surface.

Most importantly, it should communicate in a way that supports action.

Building Healthcare AI Responsibly

Healthcare AI must be built with discipline.

This means strong engineering, strong evaluation, and strong governance.

A healthcare AI system should be tested not only for accuracy, but also for reliability, fairness, explainability, privacy, and safety. It should be validated against real clinical workflows. It should be reviewed by clinicians. It should be monitored over time.

The system should also make its reasoning traceable.

If an AI system provides a clinical recommendation or risk explanation, users should be able to understand which data points contributed to that output.

This is how trust is built.

Not through impressive demos.

Not through marketing language.

But through reliable systems that can be evaluated, audited, improved, and safely used in real environments.

The Real Opportunity

The real opportunity in healthcare AI is not just automation.

It is clarity.

Healthcare teams are already dealing with information overload. The problem is not that clinicians lack data. The problem is that they often have too much data, spread across too many places, with too little time to connect everything manually.

AI can help by reducing noise and surfacing what matters.

It can support earlier detection of risk.

It can help identify patterns across years of patient history.

It can assist with adverse drug event review.

It can summarize complex clinical timelines.

It can support diagnostic reasoning while keeping humans in control.

This is where AI can create real value.

Not by replacing healthcare professionals, but by giving them better tools to make faster, safer, and more informed decisions.

The Future of Healthcare AI

The next chapter of healthcare AI should be built around four principles:

Connection, because patient data must be understood across systems and timelines.

Explanation, because clinicians need to know why an AI system reached a conclusion.

Trust, because healthcare decisions require transparency, validation, and safety.

Impact, because the goal is not technology for technology’s sake, but better care, better workflows, and better outcomes.

Healthcare AI should not stop at prediction.

It should connect the dots.

It should explain the patient story.

It should support clinical judgment.

It should reduce burden.

It should help healthcare teams move from fragmented data to meaningful insight.

That is the future worth building.

A future where AI is not just intelligent, but responsible.

Not just powerful, but understandable.

Not just automated, but clinically meaningful.

And not just focused on answers, but focused on helping people receive better care.

Mr. Rahul Reddy Hanumanthgari is an AI Engineering Leader, researcher, and IEEE Senior Member specializing in building production-grade AI systems for healthcare and enterprise platforms.

Mr. Rahul currently contributes to AI-driven engineering initiatives at Labcorp, where his work focuses on applying large language models, agentic AI workflows, and intelligent automation to improve clinical data processing and diagnostic operations.

With over a decade of experience in software engineering, automation, and distributed systems, Mr. Rahul now focuses on designing scalable AI platforms that integrate large language models, retrieval-augmented generation (RAG), and modern AI orchestration frameworks to transform complex healthcare data into actionable insights.

Mr. Rahul is also an active contributor to applied AI research, with work exploring areas such as fairness evaluation in large language models, AI-assisted clinical decision support, and intelligent patient monitoring systems. His research and engineering work aim to advance responsible, trustworthy, and scalable AI systems in real-world environments.

In addition to his technical work, Mr. Rahul regularly engages with industry leaders and C-level executives, helping organizations understand and adopt AI-driven strategies for innovation and operational transformation. He has also delivered expert-level talks and technical presentations on AI engineering, intelligent automation, and emerging AI architectures.

As a judge, Mr. Rahul brings a practitioner’s perspective on technical depth, scalability, and real-world impact, evaluating innovations not only for novelty but also for their ability to translate advanced AI research into reliable, production-ready systems.

Mr. Rahul Reddy Hanumanthgari is Bestowed with the following Certifications :

https://www.linkedin.com/in/rahul-reddy-hanumanthgari/details/certifications

LinkedIn  | ORCID 

The post AI in Healthcare appeared first on Industry4o.com.

The Unexpected Fortune of Knowing What You Own

There’s something delightfully absurd about Tuvalu’s situation that keeps me up at night. In the best possible way. Picture this: a nation of roughly 12,000 people scattered across nine islands in the South Pacific, facing an existential threat from rising waters, has somehow managed to monetize three letters. Three. The “.tv” domain extension, assigned almost by accident during the early days of internet infrastructure planning, generates roughly 10% of the country’s entire GDP. While rising sea levels threaten to literally erase Tuvalu from maps, the digital real estate attached to its name keeps the lights on, funds schools, and builds infrastructure. It’s the kind of irony that would make a novelist pause and think, “No, that’s too on-the-nose.”

But here’s what fascinates me most: Tuvalu didn’t create the value. It simply recognized what it possessed and managed it strategically. That distinction matters enormously when we talk about data governance; a topic that, I’ve noticed, tends to make people’s eyes glaze over faster than you can say “compliance framework.”

Let me explain why Tuvalu’s improbable windfall is actually a masterclass in one of the most critical business challenges of our era. I’ll walk you through four principles (Audit, Alignment, Authority, and Activation) that form the backbone of effective data governance.

Asset Recognition Starts with Honest Inventory (AUDIT)

When the Internet Assigned Numbers Authority (IANA) distributed country code top-level domains in the 1980s, nobody handed Tuvalu a memo explaining that “.tv” would become a goldmine. The nation’s government eventually figured it out, but only because someone asked a deceptively simple question: “What do we actually have?”

This is where data governance begins, and where most organizations stumble spectacularly. The AUDIT principle starts here: you cannot govern what you haven’t inventoried.

I’ve spent three and a half decades watching both companies and government organizations alike accumulate data like squirrels hoarding acorns, with roughly the same strategic thinking. They collect customer information, transaction records, operational metrics, and behavioral patterns with the enthusiasm of a magpie attracted to shiny objects. Yet when I ask executives and other leaders, “Do you know what data you possess?” the answers range from vague to embarrassing. Some know. Some don’t. Some think they know, but don’t. Some don’t think they know, but do. A few seem offended by the question.

Tuvalu’s lesson is unforgiving: you cannot govern, protect, or monetize what you haven’t inventoried. The nation’s revenue stream emerged from a systematic understanding of their digital assets, their market value, their strategic importance, and the competitive landscape surrounding domain extensions. No wishful thinking involved. They conducted what amounts to a comprehensive data audit of their own name.

Organizations need to do exactly this. A proper data governance program begins with an honest, thorough inventory. What data do you collect? Where does it live? Who created it? How old is it? Who uses it? Is it accurate? Is it complete? These questions feel tedious until you realize that skipping them is like a bank manager saying, “I’m sure we have money somewhere in this building. Probably.”

The inventory phase isn’t glamorous. It won’t impress your board. But it’s the foundation upon which everything else stands. Without knowing your assets, you’re essentially managing blind, and that’s when expensive mistakes happen.

Stewardship Requires Understanding Stakeholder Value (ALIGNMENT)

Here’s a historical parallel that genuinely delights me: the Medici family of Renaissance Florence. They weren’t the wealthiest people in Europe, as there were plenty of nobles and monarchs who had more land and raw resources. What they possessed was something far more valuable: a sophisticated understanding of how to identify, cultivate, protect, and leverage assets that others overlooked. They recognized that banking, art patronage, and political influence could be interwoven into a system of mutual value creation. They stewarded their resources not just for immediate gain but for generational advantage.

The Medici understood stakeholder value intuitively. Different constituencies (such as artists, merchants, the Church, and even common citizens) all benefited from their stewardship, which created loyalty and sustained their influence across centuries.

Tuvalu’s government grasped something similar about “.tv.” They recognized that tech companies and streaming services needed this domain extension. They understood the value proposition from multiple angles: companies wanted the branding advantage, users understood the connection between “.tv” and video content, and the market was willing to pay premium prices for this clarity. Rather than simply leasing the domain, Tuvalu stewarded it as a shared resource that benefited multiple constituencies.

This is where data governance transforms from a compliance checkbox into a strategic discipline. This is where ALIGNMENT comes into play: you cannot create sustainable value from data without understanding whose interests that data serves.

Organizations sit on data that has value to multiple stakeholders: customers, employees, partners, regulators, and the business itself. But that value only materializes when someone is actively stewarding the data with those stakeholders in mind. Rather than being simply a compliance obligation, a customer record is a relationship asset. Operational data forms a foundation for improving performance, not merely a historical record. Behavioral data, often viewed as a privacy concern, is ultimately a tool for creating better experiences.

Effective data governance requires understanding who your stakeholders are and what value different datasets provide to them. It means creating systems where data is accurate, accessible, and actionable for the people who need it. It means protecting data in ways that respect stakeholder interests rather than just minimizing legal liability. When you govern data as a stewardship responsibility rather than a burden, the entire organizational culture shifts. And that takes ALIGNMENT.

Control Mechanisms Protect Against Exploitation (AUTHORITY)

Here’s something that doesn’t get discussed enough: Tuvalu could have done nothing with “.tv.” The domain could have been abandoned, mismanaged, or given away. Instead, the nation established clear control mechanisms. They created a registry, established pricing structures, set usage guidelines, and enforced terms of service. They maintained governance over their asset even as they monetized it. They demonstrated AUTHORITY over their asset.

Some might call it paranoia. They’d be wrong. This was wisdom.

Data governance frameworks exist for precisely this reason. Without clear control mechanisms, data becomes vulnerable to misuse, degradation, and exploitation. I’ve seen organizations where data flows through systems like water through a sieve; nobody knows where it goes, who accesses it, what happens to it, or whether it’s being used appropriately.

The consequences range from embarrassing to catastrophic. Data gets corrupted because multiple people modify it without coordination. Sensitive information leaks because access controls are vague. Decisions get made on inaccurate information because nobody verified the data source. Regulatory violations occur because nobody was monitoring compliance. The organization loses competitive advantage because valuable insights are buried in unorganized data repositories. Authority collapses.

Effective data governance establishes clear control mechanisms: who can access which data, under what circumstances, for what purposes, with what documentation. It creates audit trails. It implements quality standards. It establishes escalation procedures for anomalies. It defines roles and responsibilities.

These mechanisms aren’t restrictions that inhibit business value. They’re the infrastructure that enables sustainable value creation. Tuvalu generates revenue from “.tv” because they control it. An organization generates value from data because they govern it properly.

Strategic Alignment Transforms Potential into Performance (ACTIVATION)

Here’s the final lesson, and perhaps the most important: Tuvalu’s “.tv” revenue works because it’s strategically aligned with the nation’s fundamental challenges and opportunities. Rising sea levels threaten their existence. Traditional economic models (fishing, coconut production) provide limited growth. They needed revenue sources that were scalable, low-cost to maintain, and didn’t depend on physical infrastructure that rising seas might destroy. A digital asset was perfectly aligned with their strategic reality.

Many organizations accumulate data without asking whether it aligns with their strategic priorities. They collect information because they can, not because they’ve thought through how it serves their fundamental objectives.

Let me be direct: this is where data governance either becomes transformative or remains a bureaucratic exercise. This is where ACTIVATION happens. Or doesn’t.

A well-governed data strategy should be tightly connected to your organization’s core mission and competitive advantage. If you’re in healthcare, your data governance should prioritize patient outcomes and safety. If you’re in retail, it should emphasize customer experience and operational efficiency. If you’re in manufacturing, it should support quality, safety, and continuous improvement. If you’re in higher education, it should enable student success and institutional effectiveness – and research integrity, depending on your institution’s mission. The governance framework should ACTIVATE around these strategic priorities, not around generic compliance requirements.

This requires asking hard questions: What data actually matters for our strategic success? How does our data governance framework support our competitive differentiation? Are we protecting the data that matters most? Are we making it accessible to the people who can create value from it? Are we measuring whether our data governance is actually improving performance?

When data governance aligns with strategy, it stops feeling like an obligation and starts feeling like an advantage.

The Convergence Point (Conclusion)

Tuvalu’s story reminds us that value often emerges from understanding what we possess, recognizing its potential, stewarding it responsibly, and aligning its use with our fundamental needs. The nation didn’t invent the internet. It didn’t create demand for video streaming. It simply recognized an asset, managed it strategically, and benefited from that management.

Your organization’s data is similar. It exists. It has value. Multiple stakeholders depend on it. The question isn’t whether to govern it; the question is whether you’ll govern it well enough to realize its potential. That realization requires recognizing what you possess, understanding who benefits from it, controlling how it’s used, and aligning it with what matters most.

The irony is delicious: a tiny nation threatened by rising seas discovered that three letters could generate millions. Meanwhile, organizations drowning in data often fail to recognize the treasure beneath their feet. Luck doesn’t explain Tuvalu’s success. Data governance does.

“Bringing Data to Life and Life to Data”

About the Author:

Dr. Joe Perez,
Team Lead / Senior Systems Specialist,
NC Department of Health and Human Services

Dr. Joe Perez ( Dr.Joe ) is also the Chief Technology Officer – CogniMind

To book Dr. Joe Perez for your speaking engagement please click here

Dr. Joe Perez was selected as the 2023 Gartner Peer Community Ambassador of the Year.

Dr. Joe Perez is a truly exceptional professional who has left an indelible mark on the IT, health and human services, and higher education sectors. Dr. Joe Perez journey began in the field of education, where he laid the foundation for his career. With advanced degrees in education and a doctorate that included a double minor in computers and theology, Dr. Joe Perez embarked on a path that ultimately led him to the dynamic world of data-driven Information Technology.

In the early 1990s, Dr. Joe Perez transitioned into IT, starting as a Computer Consultant at NC State University. Over the years, Dr. Joe Perez’s dedication and expertise led to a series of well- deserved promotions, culminating in his role as Business Intelligence Specialist that capped his 25 successful years at NC State. Not one to rest on his laurels, Dr. Joe Perez embarked on a new challenge in the fall of 2017, when he was recruited to take on the role of Senior Business Analyst at the NC Department of Health, Human Services (NCDHHS). His impressive journey continued with promotions to Senior Systems Specialist and Team Leader, showcasing his versatility and leadership capabilities.

In addition to his full-time responsibilities at NCDHHS, Dr. Joe Perez assumed the role of
fractional Chief Technology Officer at a North Carolina firm in October 2020. An Amazon best-selling author with over 21,000 followers on LinkedIn and numerous professional certifications, he is a highly sought-after international keynote speaker and recognized expert in data analytics and visualization.

Dr. Joe Perez’s contributions have not gone unnoticed. Dr. Joe Perez is a recipient of the IOT Industry Insights 2021 Thought Leader of the Year award, the 2023 Gartner Peer Community Ambassador of the Year award, and Top Ten Global Thought Leader for several categories at Thinkers360 in four consecutive years (2023-2026). Dr. Joe Perez holds memberships in several prestigious Thought Leader communities, and was recently inducted into the United Nations Global Network of Data Officers and Statisticians. Dr. Joe Perez’s reach extends to more than twenty countries worldwide, where he impacts thousands through his speaking engagements, articles, and status as a Distinguished Fellow in the Public Sector Network’s Future Government Institute.

Beyond his professional achievements, Dr. Joe Perez’s passion for teaching remains
undiminished. Whether as a speaker, workshop facilitator, podcast guest, conference emcee, or team leader, he continually inspires individuals to strive for excellence. He treasures his time with his family and is a gifted musician, singer, pianist, and composer. Joe also dedicates his skills through involvement in his church’s Hispanic ministry. Dr. Joe Perez manages the publication of a widely recognized monthly military newsletter, The Patriot News, and is deeply committed to his community.

To maintain a balanced life, Dr. Joe Perez is a regular at the gym, and he finds relaxation in watching Star Trek reruns. He lives by the philosophy that innovation is the key to progress, and he approaches each day with boundless energy and an unwavering commitment to excellence. Dr. Joe Perez’s journey is a testament to the remarkable achievements of a truly exceptional individual, and more importantly, to the amazing grace of God.

Dr. Joe Perez is Accorded with the following Honors & Awards :

https://www.linkedin.com/in/jwperez/details/honors/

Dr. Joe Perez is Bestowed with the following Licences, Certifications & Badge:

https://www.linkedin.com/in/jwperez/details/certifications/

https://www.thinkers360.com/tl/badge/19985/2764

Dr.Joe Perez is Voluentering in the following International Industry Associations & Institutions :

https://www.linkedin.com/in/jwperez/details/volunteering-experiences/

Dr.Joe Perez can be contacted at :

E-mail | LinkedIn | Web | Sessionize | FaceBook  | Twitter | YouTube

Also read Dr.Joe Perez‘s earlier articles:

The post Data Storytelling: The Tuvalu Lesson appeared first on Industry4o.com.

The fastest way to make vision inspection work is to stop treating it like an AI feature—and start treating it like production infrastructure.

I’ve witnessed this scenario too many times: the model looks great—then the station collapses in week one. Not because the AI is “bad,” but because the real culprits are upstream and downstream: lighting drift, sloppy fixturing, rushed changeovers, brittle PLC handshakes, and workflows no one trusts.

Factories don’t care about demo accuracy. They care whether inspection survives production reality — shift after shift, line after line. In manufacturing, visual inspection isn’t a software project. It’s a production system.

And that distinction matters more than ever.

The industry has spent years optimizing defect detection accuracy. But factories don’t run on model accuracy alone — they run on reliability, integration, repeatability, maintainability, and operator trust.

A vision AI model that works in a controlled demo but fails during changeovers is not an AI success story — it’s a production liability.

The Real Challenge Is Not Detection — It Is Production Stability

Most quality teams have lived both extremes:

Deep learning helps—but it doesn’t remove the factory constraints: vibration, partvariation, surface glare, tight takt time, frequent changeovers, and the non-negotiable requirement to integrate with controls.

Here’s how I think about it: visual inspection is a stack, and software is only one layer.

The Visual Inspection Stack (Beyond Software)

A production-grade inspection system typically depends on multiple interconnected layers:

Operations & Governance : Ownership, escalation paths, operator trust, and change management

Integration : PLC/MES/QMS connectivity, traceability, reject/rework loops, alarms

Deployment & Reliability : SAT readiness, uptime, calibration procedures, maintenance playbooks

Model & Decision Logic : Classification logic, thresholds, defect taxonomy

Data : Sampling strategies, labelling quality, edge-case handling, drift monitoring

Compute & Cameras : Edge hardware, triggering systems, timing synchronization, enclosures

Lighting, Optics & Mechanics : Illumination geometry, lensing, fixturing, motion control

A simple rule often applies: if the foundational layers are unstable, software alone cannot compensate for upstream variability.

This is where many AI vision deployments encounter difficulties—not because the model fails, but because production environments are inherently dynamic.

Production Does Not Care About the Demo

On the shop floor, the expectations are straightforward:

• pass SAT
• sustain uptime
• survive changeovers
• avoid becoming a new operational bottleneck

If an inspection station cannot be trusted consistently across shifts, even high-performing models lose practical value. It won’t matter what your ROC curve looked like during evaluation.

Scaling inspection therefore requires more than deploying AI models. It requires deployment discipline: standardized mechanical design, calibration routines, acceptance criteria, maintenance workflows, integration logic, and operational governance.

Without that foundation, every deployment risks becoming a custom engineering exercise.

At scale, inspection systems stop being isolated AI projects and start becoming manufacturing infrastructure.  

Detection Is Cheap. Action Is the Product.

The value of inspection is realized only when manufacturing systems can act on the result reliably.

Inspection-to-Action Flow

Detection alone has limited value if it cannot drive reliable manufacturing action.

The real operational layer is everything that happens after inference: PLC handshakes, reject/rework logic, alarms, traceability, and reporting into MES/QMS, operator visibility, and process accountability.

And it has to be legible—defect categories must align with the control plan, evidence images must be understandable to operators, and metrics must drive action – not endless arguments between production and quality teams.

At scale, inspection systems are not evaluated only by model accuracy. They are evaluated by whether production teams trust them enough to run continuously.

Rethinking AI Inspection as Manufacturing Infrastructure

As AI adoption expands across manufacturing, the conversation is gradually shifting.

The question is no longer only: “Can AI detect defects?”

Increasingly, the more important question is: “Can the inspection system remain stable, maintainable, and operationally useful under real production conditions?”

That changes the way inspection systems need to be designed.

Experience from large-scale manufacturing deployments continues to reinforce the same lesson: successful inspection systems are rarely the result of models alone.

They depend on how imaging, mechanics, AI, deployment reliability, integration, traceability, and production workflows work together as a complete operational system.

At Jidoka Technologies, this perspective has been shaped through deployments across 180+ manufacturing lines and more than 300 million inspections per day across production environments.

Because ultimately, the objective is not only defect detection. It is enabling production environments to respond consistently, reliably, and at scale.

About Author :

Mr. Sekar Udayamurthy
Founder & CEO,
Jidoka Technologies Pvt. Ltd.

Mr. Sekar Udayamurthy is the Founder and CEO of Jidoka Technologies, leading the integration of Artificial Intelligence, Machine Vision, and automation to revolutionize defect detection in manufacturing.

Mr. Sekar Udayamurthy works on deploying AI-powered visual inspection systems across manufacturing environments.

Mr. Sekar Udayamurthy’s work focuses on production-grade AI deployment, operational reliability, manufacturing integration, and scalable inspection infrastructure for Industry 4.0 applications.

Previously Mr. Sekar Udayamurthy contributed to large-scale digital engineering and application modernization initiatives as SBU Head at Cognizant, managing multimillion-dollar portfolios and cloud-native platform development.

Mr. Sekar Udayamurthy is passionate about technology, architecture, and fostering high-performance teams, consistently delivering impactful tech solutions aligned with strategic objectives.

Mr. Sekar Udayamurthy  is Bestowed with the following Licenses & Certifications :

https://www.linkedin.com/in/sekarudayamurthy/details/certifications/

Mr. Sekar Udayamurthy  is Bestowed with the following Patents :

https://www.linkedin.com/in/sekarudayamurthy/details/patents/

Mr. Sekar Udayamurthy can be contacted at :

E-mail | LinkedIn | Website

About JIDOKA Technologies Pvt.Ltd :

Jidoka Technologies is an industrial automation leader specializing in “First-Time-Right” manufacturing through Vision AI solutions. Rooted in the Lean manufacturing principle of Jidoka (automation with a human touch), the company eliminates the traditional trade-off between production speed and quality. By combining deep learning with modular hardware, Jidoka enables factories to achieve near-perfect accuracy at extremely high throughputs.

Core Product Offerings :

Jidoka uniquely delivers product inspection(2D & 3D) and process guidance on a single platform:

KOMPASS (Product Inspection)

Unlike traditional rule-based vision systems, KOMPASS uses deep learning to detect micro-defects, anomalies, and non-conformances in real-time. It handles counting, sorting, classification, and label verification at speeds up to 12,000 parts per minute.

NAGARE (Process Guidance)

NAGARE focuses on process integrity through real-time digital verification of assembly steps. This “poka-yoke” (error-proofing) approach guides operators to prevent errors before they become defects, reducing rework by up to 35% and boosting productivity by 25%.

Industry Impact

Jidoka serves diverse sectors including Automotive, FMCG, Pharma, Electronics, and Logistics

Automotive:

The “HILDA” (Human-In-The-Loop) approach inspects cylinder blocks, processing over 1,000 images in 70 seconds and saving thousands of man-hours

FMCG & Logistics:

High-speed packaging line inspection ensures label accuracy and kit completeness, preventing costly recalls

General Manufacturing :

Hardware-agnostic AI integrates seamlessly with existing systems (Siemens, Omron), providing scalable quality control digitization

To Learn more about Jidoka Technologies Pvt. Ltd.:

Jidoka Technologies | AI Vision Inspection Solutions | Customer Stories 

Jidoka Technologies can be contacted at:

E-Mail (1) | E-mail (2) | LinkdedIn | Website | X

The post Visual Inspection in Manufacturing appeared first on Industry4o.com.

BNEW introduces five new verticals in its seventh edition

• Gaming, AI, Energy, Agrofood, and Science will be the new additions to the seventh edition of Barcelona New Economy Week, joining the existing verticals of Talent, Aviation & Space, and Health.

• The event will maintain its hybrid format, with live streaming through the BNEW Platform, while strengthening the in-person experience to become the meeting point for leaders of the new economy.

• In-person attendees will have the opportunity to access the various networking spaces and initiatives, as well as the full experiential activities program, upon registration.

Barcelona New Economy Week (BNEW) 2026, an event organized by the Consorci de la Zona Franca de Barcelona (CZFB), will hold its seventh edition from October 5 to 7 at DFactory Barcelona. The event will maintain its hybrid format, with all content streamed live through its digital platform, while further enhancing the in-person experience through dedicated networking spaces and an extensive program of experiential activities. These will provide attendees with the opportunity to engage directly with eight of the leading sectors of the new economy: Aviation & Space, Agrofood, Gaming, Talent, Science, Health, AI, and Energy.

In this way, the event will bring new topics into the discussion, including: the impact of AI on employment and the new economy; interdisciplinary science and open innovation; the revolution of new materials and nanotechnology; the most significant discoveries in recent years in the fields of astronomy and space; the energy transition; the contribution of data to efficiency and energy management; the new geopolitical landscape and its impact on the aerospace and defence industry; automation and surgical robotics; new healthcare delivery models; technological advances in the agri-food sector; smart water management; the food of the future; the transformation of the video game industry; financing and the launch of new products and developments in the sector; and the business of gaming beyond entertainment.

According to Pere Navarro, Executive Chairman of the Consorci de la Zona Franca de Barcelona (CZFB), “since its inception, BNEW has been a living, evolving, and resilient event, just like the new economy itself. And this seventh edition will be no exception, with the addition of new verticals that we believe must be part of the event, given their growing importance in the global economic landscape, such as Artificial Intelligence, the agri-food sector, energy, science, and the video game industry.” 

BNEW 2026: A truly unique experience

In its seventh edition, BNEW is expected to bring together nearly 270 leading national and international speakers, participating in more than 50 panels, debates, and sessions across three television-style studios. In addition, the event will feature a comprehensive programme of more than 30 experiential activities, offering visitors a unique opportunity to discover the latest innovations in some of the industries driving the new economy, while also exploring part of the cultural, leisure, and design offerings of the Barcelona Metropolitan Area. Once again, all of this will take place at DFactory Barcelona, the internationally renowned Industry 4.0 ecosystem promoted by the Consorci de la Zona Franca de Barcelona (CZFB).

“BNEW is much more than a congress and much more than an event. With a top-tier content programme, a state-of-the-art television-style format, a personalized networking platform, and a wide range of immersive and interactive activities, Barcelona New Economy Week is a truly unique experience that must be lived firsthand. It offers visitors the opportunity to take part in the debate shaping the new economy, connect with leaders from multiple sectors, and contribute to driving the transformation of different industries,” said Blanca Sorigué, General Manager of the CZFB.

The event will maintain its hybrid format, with all content streamed live so that it can be followed from anywhere in the world. Registered users will also have access to the BNEW Platform, which enables networking through direct messaging and contact exchange, scheduling meetings with other participants, and accessing the virtual assistant, BBot, which helps answer any questions and provides support throughout the event.

Registration is now open through the BNEW website, allowing participants to access the platform and attend the event in person: www.bnewbarcelona.com.

About the Consorci de la Zona Franca de Barcelona :

The Consorci de la Zona Franca de Barcelona is a public company that acts as a driver of technological and industrial development by supporting companies in their transition towards the digital era, because of CZFB’s strategic vision to lead Industry 4.0.

It promotes District 4.0 by driving the transformation of Industry 4.0 from the DFactory Barcelona technological ecosystem, champions innovation through the 3D Incubator and the Logistics 4.0 Incubator and connects the new economy and its key socioeconomic sectors. It organises congresses of economic interest for Barcelona, such as Spain’s and southern Europe’s largest logistics fair, SIL, as well as major flagship events in an innovative format such as Barcelona New Economy Week (BNEW) and Barcelona Woman Acceleration Week (BWAW).

Its plenary includes representatives from the Spanish government, the Generalitat of Catalonia, Barcelona City Council, and the city’s main economic institutions.

CZFB Can be contacted at :

FaceBook | Instagram | LinkedIn | X | YouTube | BKSY

Barcelona New Economy Week (BNEW 2026) can be contacted at :

LinkedIn | X | YouTube (1) | YouTube (2) | Instagram | Website

For more information:

Lluís López Yuste
Director – Departament de Comunicació
Department of Corporate Communication of CZFB

Av. del Parc Logístic, 2-10
Pol. Ind. Zona Franca – 08040 Barcelona

Lluís López Yuste can be contacted at :

LinkedIn | E-mail | Website | Tel: +34 609 358 475 | Tlf. 932 638 111

Alba Tejera

E-mail | Tel: 628 541 114

Earlier Articles :

The post Barcelona New Economy Week (BNEW 2026) appeared first on Industry4o.com.

Barcelona, together with Zurich and San Francisco, will become the company’s third global hub and will address the growing demand for its autonomous inspection solutions in asset- and process-intensive industrial sectors. The company’s arrival in the city has been supported by Barcelona & Partners, the investment attraction and strategic projects agency of Barcelona Global.

Pere Navarro and Blanca Sorigué, executive chairman and general manager of the CZFB, together with Montse Puig, general manager of Barcelona & Partners, met with Andrea Corda, CTO of ANYbotics, and Rene-Charles Michon, head of ANYbotics at DFactory, to welcome them to the internationally renowned Industry 4.0 ecosystem.

ANYbotics, a global leader in AI-powered robotic inspection solutions, today announced the opening of its new office at DFactory Barcelona. The new engineering and artificial intelligence hub in Barcelona will be the company’s third global location, alongside Zurich and San Francisco, and will help meet the growing demand for its autonomous inspection solutions in asset- and process-intensive industrial sectors. This expansion follows a period of strong growth for ANYbotics, at a time when companies in the oil, energy and gas, chemicals, metals, and process industries in general are moving from pilot projects to large-scale deployments of its autonomous inspection robots. As the market matures, ANYbotics is expanding its presence and engineering teams to support and scale its global deployments.

“We are building a global company commensurate with a global opportunity,” said Péter Fankhauser, co-founder and CEO of ANYbotics. He added that “Barcelona offers us access to outstanding engineering talent, in a city that is rapidly becoming a key hub for robotics and industrial engineering talent.”

The new ANYbotics team in Barcelona will focus on key technical disciplines such as computer vision and machine learning, backend and frontend software engineering, mechatronics, and DevOps. As the hub grows, the company plans to further strengthen the team by integrating additional supply chain functions and other essential business areas.

“The Barcelona team will work on computer vision, machine learning, and key software systems that directly define what our robots can do,” explained Andrea Corda, CTO of ANYbotics. “These are complex challenges, and our location at DFactory Barcelona places us at the heart of an Industry 4.0 ecosystem, giving us access to professionals, research groups, and companies that are addressing them,” Corda added.

For his part, Pere Navarro, executive chairman of the CZFB, stated that “the addition of ANYbotics to the DFactory Barcelona ecosystem reinforces our commitment to a safer, smarter and more efficient industry. Its autonomous mobile robotics technology, applied to industrial inspection in complex environments, represents a clear advancement in operational safety and data management. Having solutions that integrate robotics, computer vision and artificial intelligence helps us drive the digital transformation of the most demanding industrial sectors.”

Blanca Sorigué, general manager of the CZFB, explained that ANYbotics’ decision to choose DFactory Barcelona “reaffirms the value of our Industry 4.0 ecosystem, which is specialized and focused on applied innovation. Here, talent, partners, and infrastructure come together to enable the creation of high-level engineering teams and to accelerate R&D in real-world environments. Their addition strengthens collaboration with the existing industrial and robotics ecosystem and consolidates DFactory as a space where technology is transformed into industrial impact.”

Barcelona & Partners, the investment attraction and strategic projects agency of Barcelona Global, has supported ANYbotics throughout the process of selecting Barcelona as the location for its new engineering and artificial intelligence hub. The city was chosen for its ability to attract international talent, the presence of a well-established ecosystem in robotics, artificial intelligence and Industry 4.0, its strong industrial tradition, and leading infrastructures such as DFactory Barcelona.

In this regard, Ramon Agenjo, president of Barcelona Global, highlighted that ANYbotics’ decision confirms the city’s positioning as “one of Europe’s leading hubs for robotics, artificial intelligence and advanced engineering,” and added that projects like this “are key to strengthening Barcelona’s competitiveness, generating highly skilled employment, and consolidating the city as a leading destination for international investment. This is the type of company we want to attract to Barcelona and that reflects the strength of our advanced technology ecosystem.”

The addition of ANYbotics reinforces DFactory Barcelona’s international positioning as a leading ecosystem for technology companies driving the digital transformation of industry to make it safer, more resilient and more competitive. Currently, DFactory Barcelona already hosts more than 40 companies and has reached full occupancy. The Barcelona ecosystem has already begun its expansion works, which will allow it to grow from its current 17,000 m² of space to 60,000 m², with the construction of four new buildings. The first buildings of this expansion are expected to be completed by the end of next year, with new companies set to move in at the beginning of 2027.

About the Consorci de la Zona Franca de Barcelona :

The Consorci de la Zona Franca de Barcelona is a public company that acts as a driver of technological and industrial development by supporting companies in their transition towards the digital era, because of CZFB’s strategic vision to lead Industry 4.0.

It promotes District 4.0 by driving the transformation of Industry 4.0 from the DFactory Barcelona technological ecosystem, champions innovation through the 3D Incubator and the Logistics 4.0 Incubator and connects the new economy and its key socioeconomic sectors. It organises congresses of economic interest for Barcelona, such as Spain’s and southern Europe’s largest logistics fair, SIL, as well as major flagship events in an innovative format such as Barcelona New Economy Week (BNEW) and Barcelona Woman Acceleration Week (BWAW).

Its plenary includes representatives from the Spanish government, the Generalitat of Catalonia, Barcelona City Council, and the city’s main economic institutions.

CZFB Can be contacted at :

FaceBook | Instagram | LinkedIn | X | YouTube | BKSY

About ANYbotics

ANYbotics, a global leader in AI-based robotic inspection solutions,addresses critical industry challenges related to safety, efficiency, and sustainability. Designed for the most demanding industrial environments, ANYbotics’ ANYmal robots stand out for their autonomous operations, advanced mobility, and real-time data collection, making them ideal tools for tasks such as routine inspections, remote operations, and predictive maintenance. Trusted by hundreds of industrial leaders across the energy, power, metals, mining, and chemical sectors worldwide, ANYbotics aims to complement industrial workforces with autonomous robots, addressing labor shortages while keeping workers out of hazardous situations. Backed by over $150 million in funding from leading European and Silicon Valley investors, and with a team of more than 200 experts, ANYbotics has been shaping the future of industrial automation since 2016, with offices in Zurich, Barcelona, and San Francisco.

ANYbotics can be contacted at :

LinkedIn | YouTube | X | FaceBook | Website

About Barcelona & Partners :

Barcelona & Partners is the agency promoted by Barcelona Global to attract foreign investment and strategic projects with a significant impact on Barcelona. It focuses on sectors in which the city has a strong value proposition, such as Life Sciences, Digital Tech, Advanced Manufacturing, Climate Tech, and Interactive Media.

Barcelona & Partners  can be contacted at:

LinkedIn

For more information:

Lluís López Yuste
Director – Departament de Comunicació
Department of Corporate Communication of CZFB

Av. del Parc Logístic, 2-10
Pol. Ind. Zona Franca – 08040 Barcelona

Lluís López Yuste can be contacted at :

LinkedIn | E-mail | Website | Tel: +34 609 358 475 | Tlf. 932 638 111

Earlier Articles :

The post ANYbotics at DFactory Barcelona appeared first on Industry4o.com.

The global cybersecurity landscape continues to evolve at an alarming pace. On 27th April 2026, a newly identified ransomware strain began targeting organizations by encrypting business-critical data and appending a suspicious new file extension: .t9tyig_p2k.

This threat has created immediate concern because, at present, no publicly available decryption tool exists. That means organizations hit by this malware may face severe operational downtime, data inaccessibility, reputational damage, and potential financial losses.

This incident is another reminder that ransomware operators are becoming faster, smarter, and more aggressive. Industries must now move beyond traditional antivirus approaches and adopt proactive cybersecurity strategies.

Understanding the New Ransomware Threat

 Ransomware is malicious software designed to lock or encrypt data, making files unusable until a ransom is paid. The new .t9tyig_p2k variant appears to be using modern encryption methods, making recovery highly difficult without secure backups or specialized incident response.

Why This Attack Is Dangerous

 How Industries Are Being Attacked

✦ Most ransomware campaigns succeed through preventable gaps in security. Common entry points include:

Phishing Emails

Weak Remote Access

Unpatched Systems

Third-Party Vendor Access

Insider Negligence

Warning Signs of Infection

How to Tackle This Attack – ETSPL Strategies

ETSPL recommends a prevention-first model supported by rapid incident response. The following strategies are critical:

1. Immediate Isolation

If ransomware is suspected:

2. Preserve Evidence

Do not format systems or delete files. Preserve logs, ransom notes, memory data, and encrypted samples for forensic analysis.

3. Activate Secure Backups

Maintain:

Regular backup testing is essential.

4. Endpoint Detection & Response (EDR)

Deploy advanced monitoring tools that detect:

5. Multi-Factor Authentication (MFA)

Enable MFA across:

6. Employee Awareness

Train staff to identify:

7. Patch Management

Maintain a disciplined update cycle for:

ETSPL Incident Response Framework

ETSPL supports organizations through a structured ransomware response model:

Detect

Identify patient-zero system, attack timeline, and affected assets.

Contain

Stop spread across endpoints, servers, and cloud systems.

Investigate

Perform digital forensics to determine entry point and attacker behavior.

Recover

Restore operations using clean backups and hardened systems.

Strengthen

Close vulnerabilities and improve defenses post-incident.

Industries Most at Risk

• Manufacturing
• Healthcare
• Banking & Finance
• Retail & E-commerce
• Logistics
• Education
• Government
• IT / BPO / Shared Services

Any organization dependent on digital operations is a target.

Should You Pay the Ransom?

In most cases, paying ransom does not guarantee recovery. Attackers may:

• Provide broken decryptors
• Demand more money later
• Leak stolen data anyway
• Re-attack the same company

Professional legal, technical, and compliance review is advised before any decision.

Final Message to Industry Leaders

The .t9tyig_p2k ransomware campaign is a warning that cybercriminals continue innovating faster than unprepared businesses can respond. Security is no longer optional – it is a business continuity requirement.

The best defense is not panic after encryption. The best defense is readiness before attack.

ETSPL urges Indian industries and global enterprises to strengthen cyber resilience, test response plans, secure backups, and invest in active threat monitoring now.

About the Author :

Dr. Vinod Gokakakar
MD & CEO,
EBC TECH SERV PVT LTD (ETSPL)

Dr. Vinod Gokakakar is a cybersecurity strategist and technology leader focused on ransomware defense, digital trust, enterprise resilience, and advanced threat protection.

Dr. Vinod Gokakakar is a seasoned IT professional with over 21 years of diverse experience in the technology industry. Throughout his career, Dr. Vinod Gokakakar has worked with a wide range of sectors, from small businesses to multinational corporations, gaining invaluable insights into various technological verticals.

In 2017, leveraging his extensive expertise and recognizing the growing importance of cybersecurity for businesses, Dr. Vinod Gokakakartook a bold step and established his own company. Focused on serving small and medium-sized enterprises (SMEs), his company aimed to provide comprehensive cybersecurity solutions to protect these businesses from emerging
threats in the digital landscape. Dr. Vinod Gokakakar‘s commitment to safeguarding the digital assets of SMEs earned him a reputation as a trusted advisor in the cybersecurity domain.

Building on his success and driven by a passion for addressing complex challenges in the digital realm, Dr. Vinod Gokakakar expanded his entrepreneurial ventures further. In 2017, he founded ETSPL dedicated to providing a comprehensive suite of services encompassing cybersecurity, legal advisory, copyrights, intellectual property rights (IPR), online dispute resolutions, and more. This innovative venture positioned Dr. Vinod Gokakakar as a pioneer in offering integrated solutions that bridge the gap between technology and legal compliance.

Dr. Vinod Gokakakar‘s visionary leadership and multidisciplinary approach have positioned his companies as leaders in the cybersecurity and legal services sectors in India. His ability to anticipate emerging trends, coupled with a deep understanding of both technology and legal frameworks, has enabled him to offer holistic solutions tailored to the evolving needs of his clients.

With a track record of success and a commitment to excellence, Dr. Vinod Gokakakar continues to make significant contributions to the advancement of cybersecurity and legal services, empowering businesses to navigate the complexities of the digital age with confidence and resilience.

Dr. Vinod Gokakakar is Bestowed with the following Licenses & Certifications :

https://www.linkedin.com/in/vinodgokakakar/details/certifications/

Dr. Vinod Gokakakar is Accorded with the following Honors & Awards :

https://www.linkedin.com/in/vinodgokakakar/details/honors/

Dr. Vinod Gokakakar can be contacted at :

LinkedIn | Twitter | E-mail

Are you an IT Professional? Visit FreePikTool website.

About EBC TECH SERV PVT LTD (ETSPL):

EBC TECH SERV PVT LTD (ETSPL) is a Managed IT Services Provider offering IT Advisory and Leadership Services to organizations in India.

EBC TECH SERV PVT LTD (ETSPL) offer value-driven solutions above and beyond managing and operating hosting, security and a full range of IT support services.

EBC TECH SERV PVT LTD (ETSPL) IT Advisory approach enables us to provide leadership to our clients in a complex rapidly changing IT environment.

EBC TECH SERV PVT LTD (ETSPL) focus is to provide maximum “business value” to clients enabling them to grow their businesses, manage their risk/compliance, and increase their competitive position by delivering improved business results.

EBC TECH SERV PVT LTD (ETSPL) client-first approach means our solutions are based on what technology solutions are needed to “fuel” their business, not a particular hardware or hosting solution.

Mission of EBC TECH SERV PVT LTD (ETSPL) :

The mission at EBC TECH SERV PVT LTD (ETSPL) is to add value and to contribute to clients’ long term success and competitive strength. This is accomplished by helping clients to identify solutions that improve performance, by assisting in implementing those solutions and by aiding in managing the subsequent change.

EBC TECH SERV PVT LTD (ETSPL) can be contacted at:

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About CONSULT INNSERVICES :

We are external analysts who evaluate a company’s IT systems to help them meet their business objectives. Their primary duties include analyzing and diagnosing a company’s IT infrastructure, understanding a client’s business needs, and designing and implementing a technology solution.

We conduct training sessions for employees, reporting, resolving client issues, software testing, troubleshooting issues and developing innovative solutions that will drive growth.

CONSULT INNSERVICES can be contact at:

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Also read Dr. Vinod Gokakakar‘s earlier article :

The post New Ransomware Threat appeared first on Industry4o.com.

My team built an IBM Bob skill modeled on the way I review product narratives, business reviews, strategy presentations, and executive communications.

In practice, the team uses the skill to identify gaps in materials before review by pressure-testing the work against the kinds of questions I’m likely to ask.

Here are a few that most product leaders will probably recognize:

• Where is the use case?
  • What customer pain point are we solving?
  • Where is the growth coming from?
  • What patterns have we identified?
  • What outcome are we trying to drive?
  • What decision are we trying to influence?
  • What assumption are we making, and how do we know it’s true?
  • What does success actually look like?
  • Is this aspirational enough?

I thought it was amazing from the start.

Not because it could mimic a review process, but because it reinforced something important about great product leadership.

Good product managers learn to anticipate users. They study behavior, signals, and patterns closely enough to understand what customers will need, where friction exists, and what is likely to happen next.

The best product organizations learn to anticipate in a similar way.

Over time, teams internalize the standards, questions, and ways of thinking that lead to better outcomes. Consistent coaching creates shared instincts. Eventually, people stop preparing for the review and start building with those expectations in mind from the start.

The real value here isn’t automation. It’s elevation.

Human time is more valuable than ever. If AI can help teams sharpen the narrative, tighten the logic, pressure-test assumptions, identify gaps, and connect recommendations to measurable outcomes before we meet, then the time we spend together can focus on harder problems, more complex tradeoffs, and the strategic conversations that actually move the business forward.

The best teams don’t wait for review meetings to know what good looks like. They build toward it from the beginning.

And no, I’m not worried about being replaced by AI. I’m excited about what happens when AI helps us get through the first rounds of feedback faster so we can spend more time tackling the harder problems, asking better questions, and raising the level of the conversation together.

About the Author :

Ms. Briana Frank
Vice President of Product & Design,
IBM Cloud

Ms. Briana Frank leads Product Management for the Cloud Native portfolio and oversees Design across IBM Cloud.

Ms. Briana Frank believes great technology starts with understanding the needs of the people and systems it serves, & brings that perspective to everything she builds across cloud and AI.

Ms. Briana Frank has a proven track record of taking new products from early idea to high growth, helping teams move quickly from concept to adoption while building strong partnerships across product, design, and engineering.

Outside of Ms. Briana Frank day job, Ms. Briana Frank mentors founders from underrepresented communities, speaks on product leadership, cloud, and AI, and guest lectures at Duke University and University of North Carolina at Chapel Hill.

Ms. Briana Frank is a patented inventor and a Boston Marathon qualifying runner.

Ms. Briana Frank is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/frankbriana/details/certifications/

Ms. Briana Frank  can be contacted at : 

LinkedIn | Blog | e-mail

The post My team replaced me with AI appeared first on Industry4o.com.

Thanks to the Organizations i was with, was amongst the earliest Adopters of ISO as a Management System. Despite being long associated, i always wonder about the task & tussle in adherence to the Systems, let alone the visible benefits the Organization reaps from having an ISO Certified Management System. Many a times, i have noticed that Management Systems survive in isolation even with the supposedly strong commitment by the Top Management.

At shop level, People to a considerable extent, have found ISO Management Systems more an interruption than a savior. Due to which, in Majority of the Organizations ISO remains a fad than a realistic Management Tool. Having certified for ISO is widely believed to have its advantages – from Market and Customer perspective, as a Tool to Attract and sometimes, a Tool to Retain.

Personally and Professionally, I have always believed, and ofcourse demonstrated as well, that any System adopted with conviction by the Top Management and promulgated all across the Organization brings in highly desirable results, consistently. Key is the holistic absorption as part of DRMs, and certainly not in parallel. Success of any Management Tool in an Organization, I strongly attribute to Top Down Approach.

The Genesis:

India emerging as a Manufacturing Hub and a Bankable Market necessitated a common platform for people to assess capability and capacity of Organizations for collaborative working, Branding apart. Any Good Organization Run Professionally certainly had documented system for their own Monitoring, Control and Management, even prior to introduction of ISO. It was easier for such Organizations to quickly convert to ISO Systems and Procedures. What started as a Privileged

Tool, over the Years ISO became a common platform, facilitated by proliferation of Certifying Bodies. From Manufacturing, ISO as a Standard, moved across Industries including Educational Institutions. More than a Quality Management System, ISO is now considered to be an Effective Organization Management System, beyond that of Process Management.

Transitions:

Certain industries looked at ISO quite critically, identified certain insufficiencies as a common tool. Starting with Automotive Sector, every Sector aspired to bring in more stringent requirements specific to their sectors in the name of User Protection and Safety. Those remain specific due to both Cost and Convenience of universalization across Industries.

Over the years, evolution of consumer aspirations and consumer protection movement called for further strengthening of ISO. As an Organization, ISO picked up the good and practicable necessities from those of Industry Specific standards. Periodical Changes were made in Standards and imposed through various clauses. From mundane paper work, ISO became an Operational Tool and in the process, evolved from being a Reactive to a Proactive Tool.

Evolutions:

As an Intrapreneur, I have always enforced an Integrated Working, focused on Effectiveness beyond Efficiencies. Silos are certainly needed to bring focus and efficiency, without which may result in Organizational disarray – meaning fixing of Responsibility & Accountability.

In more than a decade that passed, impact of Businesses on the Stake Holders necessitated a System beyond that of Organization. ISO recognized this need and included as part of the standards calling for ESG Focus and Risk Mitigation, both for the benefit of the Organization and the Stake Holders. As we move into the future, the changes envisaged alongside AI evolution leaves no choice but for the ISO and its Constituent Organizations to be prepared for.

As a result, expect ISO to move ahead of Monitor and Control to that of Leadership and Performance. Built on the fundamental framework Resilience, Sustainability, Digitalization and Value Creation, Culture Building and Business Process Transformation will be the salient aspects. ISO may thus becomes a Strategic Tool, whether it provides a Long Run Sustainable Unique Advantage or not.

Remarks:

ESG induced 3P (People – Planet – Profits) approach has forced upon Businesses to demonstrate Sustainability by way of Consistent Performance. While it is a choice now until the new ISO standard becomes effective, it will be more a compulsion to retain the Certification.

People, Processes & Systems should synergize for Organizational Effectiveness. Success of any Tool will continue to remain People Determined. In my experience, though the Auditors and Assessors play a key role in successful implementation at a Client, Tools have always been beneficial to the Organization, even if there are No Sayers.

It is a debate for another time – whether ISO assures success and helps to improve Profitability. Such a question arises with very many ISO Certified Organizations unable to sustain Businesses, resulting in Closures. But one thing is for sure – if ISO is adopted whole heartedly, it will atleast help us to be prepared at appropriate time and take course corrections. Its worth the investment – interms of Time, Money and Efforts.

About the Author :

Dr. NITHYANANDAN DEVARAAJ (NITHIN) BE., MBA., Ph.D
Independent Board Member, Business Excellence Expert, Technical Due Diligence & Capability Assessor.
Managing Partner – SAAE Enterprises
President – Coimbatore Management Association
Past National Secretary – The Institute of Indian Foundrymen.
Former MD / CEO of a German & Japanese MNC
Chairman – Shri Avinashiappar Trust
Past Managing Director & CEO – Flow Link Systems (P) Ltd ( a Voith Group Company )

Dr. Nithin has about 35 + Years of Experience in Engineering Manufacturing organizations. He has worked for LMW Group, L&T, Hitachi & CRI Group. He is considered to be a Professional with a rare blend of Intrapreneurial Orientation, having been a Business Head across Engineering Manufacturing Organisations / Industries.

Dr. Nithin is an Intrapreneur with hands on experience establishing medium & large scale end to end Value Chain Manufacturing Organizations (from Castings to Finished Products) for Indian Corporates and MNCs, driving Growth & Profitability by Building, Sustaining and Growing High Performance Teams.

Dr. Nithin is a Member in Governing Council / Board Of Studies of Universities and Management Institutions as a Management Expert.

Dr. Nithin is part of various industrial associations and professional bodies; he is credited with playing a leading role in bringing land mark changes in Export Incentives, Classification of MSMEs, CPCB Norms, Waste & Disposal Management. He also plays a pivotal role in training and development of educated Youth seeking employment opportunities.

Dr. Nithin Leads a team that turned around a division and a Company, and in establishing large scale projects as bench marks in industry (This Business has won several awards at National & Regional Level which includes – Indian Foundry of the Year, Young Foundryman and Foundryman Awards, 4Star Award from CII, Green Award & Safety Award from Tamil Nadu Government & at National Level from IIF, First Indian Foundry in the segment to get OHSAS 18001 & ISO 50001 Certification and Many Kaizen awards.)

Dr. Nithin is a Managing Trustee of a Family Managed Trust involved in activities like rendering Food, Shelter, Education and Medicare. Noted for rendering services during Chennai, Kerala, Tanjore & Nilgiris Floods.

Dr. Nithin’s Academics:

• Ph.D in Management Sciences
• MBA in Finance & Marketing – Gold Medalist and University Topper
• BE Mechanical Engineer with Distinction
• An IRCA certified lead auditor and assessor for ISO 9001.
• A qualified auditor for EMS, OHSAS & EnMS
• L&T Future Leaders Training at IIM – C

Dr. Nithin’s Professional Associations:

• Member & Industry Nominee, Coimbatore Disaster Management Council
• A Guest Faculty to Premier Management Institutes & Was  Visiting Faculty to IIM – Calicut
• An examiner for Management Qualifications & Assessor for Management Teachers
• An acknowledged management trainer and consultant
• Is a regular Business Column Writer.

Dr. Nithin is a Member of:

• Foundry Development Council, Ministry of Commerce & Industries, India.
• Institution of Engineers, All India and Coimbatore Management Association
• Board of Studies in Universities & Premier Management Institutes

Dr. Nithin is Winner of:

• The Outstanding Alumni & Distinguished Alumni Awards from PSG Institutions & Bharathiar University.
• The CMA Golden Jubilee Year Best Manager award for the region.
• The Best Management Student award and many accolades at National Level.
• The Mother Teresa Award of Excellence for Young Business Managers.

Dr. Nithin’s Management Interests:

• Management of Innovation, Corporate Strategic Planning and Manufacturing Management, Green Supply Chain

Dr. Nithin can be contacted at :

Mobile : +91 94879 46900 , +91 99653 11288

LinkedIn | Twitter | Facebook | E-mail | E-mail2

Also read Dr. NITHYANANDAN DEVARAAJ’s earlier articles:

The post Future Forward with ISO 9001: 2026 appeared first on Industry4o.com.

Many a times I have emphasized that People & Organization are two sides of the same Coin. An Organization and its Brand is built around its Own People first and everything else next. A fond follower of Japanese Philosophies, its heartening to know that, if a company is in to Consumer Products for example, its important that the Employees of the Company are its first customers and it should be out of pride and not by force. This will ensure belongingness and trust in what an Organization and its People are expected to do, and the principles they stand together for.

I still remember the LPG Era with awe – Liberalization, Privatization & Globalization. Thanks to the then Government for changing the Behavioral Landscape of both Buyers and Sellers. Opening up of Indian Economy exposed Indian Consumers to multiple choices of Global Products, from otherwise compromised buying out of limited choices. Thanks to Maruti Suzuki, Japanese were amongst the earliest to take advantage of the situation.

Indian Brands in Consumer Durables segment paved way for much better Japanese products, not just because of Brand Preference. Process Leadership of Indian Companies gave way to the perceived Product Leadership by becoming licensed manufacturers or collaborators. This brought in Japanese Culture into Indian Organizations. It was early days in my career where “Company Uniforms” for executives was unheard of. Career Growth helped me understand the significance of wearing a Company Uniform with Pride and Belongingness, which I later adopted for the Organizations I lead, either formally or informally. And it also dawned on me that this is how a Brand is Built & Promoted – by Employees first and then all others next.

I did also notice, especially in consumer durables segment, Employees are encouraged to buy only own products and certainly discouraged from buying a Competitor’s product, irrespective of market standing. This does really make a case for What You Make is What You Get.

EVOLUTION:

SPELT Environment (Socio-Political-Economic-Legal-Technology) evolved alongside Market evolution. Concepts of TQM and QFD were liberally used in bringing together the stake holders for Mutual Good. Education system and Employee Patterns shifted along with Generational Shift & Demographic Changes. Supervision gave way to Facilitation and Managing gave way to Leading. 80:20 rule came to be realized – 20% of People work for future (5 Year Plans), while 80% work for the present (2 Years).

MANAGERS AND LEADERS:

As a widely travelled Intrapreneur, it makes me wonder the way Indian Organizations are structured. Probably it is more to do with societal expectations than those of Organizations. While the Global Organizations appear to be more flat, Majority of Indian Organizations continue to remain highly vertical. Exception can be in Services Sector. This could be either because of Indian Organizations still growing or to meet Career aspirations of Employees – who anticipate promotions periodically. Personally, I see this challenging. Money is not a problem but change in hierarchy is, unless there is scope for additional responsibility. Statistics puts this at 10% of total work force who can be considered for promotion, limitation being Organizational Growth. A certain percentage of retirement and recruitment is also essential for the Organizational upheaval.

I have also noticed, elsewhere in the World, except for HR Professionals, very rarely in other functions People Manage People. Functional and Process Management is clearly distinguished from People Management. There has to be a unique distinction in roles for People to become Managers, especially when the structure is flat. However in Indian Scenario, Managers in Hard Core functions (other than service functions) major responsibility is People Performance. And that is meant to Maintain Value.

Leaders, who are expected to Add Value, will look mostly the Progress and therefore Induce Change & Manage it for the Betterment.

LEADING FROM THE FRONT:

Management Styles will largely depend on the Nature of Business, Employee Demography and Organizational Life Cycle. Traditional Organizations which has more of Doers than Planners and Employee Educational Levels low to moderate, will call for Leaders who take responsibilities and Lead from the Front, mostly assisting & supporting people perform. Its more of Task Based Leadership wherein Employees are expected to meet their DRM obligations. Such Organizations will also be highly verticalised, rely on Procedures and have a great deal of Role Clarity. Very common wherever Manufacturing is involved.

LEADING FROM BEHIND:

Demography induced Generational Shifts have paved way for Modern Organizations. Employee Education Levels are superior to that of Traditional Industries. Role of Managers are that of Facilitators, as commonly practiced elsewhere in the World. Majority of such organizations have stringent recruitment procedures and are generally flat in structure – as seen in Services Industry. Leaders in such Organizations rarely involve in DRMs, except for that of structured reviews and dash boards. Role of Leaders then will be on ESG and Growth – the 3Ps – People, Planet and Profits. For such Organizations – Leaders usually work from behind encouraging the team to achieve targets and goals – mostly Problem Solving & Mentoring.

SITUATIONAL LEADERSHIP:

Like Commanders in the War Front, most effective Business Leaders are Adaptive – meaning they appreciate the Circumstances, Accept the need to Change accordingly and Adapt themselves. This is essential in a Dynamic Business World wherein Geo-economics is Multipolar and WTO has become less significant in the era of reverse protectionism.

Once Leadership Adapts themselves to the necessities, sometimes called Predictive Leadership, Leaders understand the need for validation, post which they ensure Organization Wide Adoption of effective changes.

Why part is always clear – What, When, How & How Much determine the Effectiveness of Leadership. Ofcourse, the start is always the Right Understanding of the Why…..

About the Author :

Dr. NITHYANANDAN DEVARAAJ (NITHIN) BE., MBA., Ph.D
Independent Board Member, Business Excellence Expert, Technical Due Diligence & Capability Assessor.
Managing Partner – SAAE Enterprises
President – Coimbatore Management Association
Past National Secretary – The Institute of Indian Foundrymen.
Former MD / CEO of a German & Japanese MNC
Chairman – Shri Avinashiappar Trust
Past Managing Director & CEO – Flow Link Systems (P) Ltd ( a Voith Group Company )

Dr. Nithin has about 35 + Years of Experience in Engineering Manufacturing organizations. He has worked for LMW Group, L&T, Hitachi & CRI Group. He is considered to be a Professional with a rare blend of Intrapreneurial Orientation, having been a Business Head across Engineering Manufacturing Organisations / Industries.

Dr. Nithin is an Intrapreneur with hands on experience establishing medium & large scale end to end Value Chain Manufacturing Organizations (from Castings to Finished Products) for Indian Corporates and MNCs, driving Growth & Profitability by Building, Sustaining and Growing High Performance Teams.

Dr. Nithin is a Member in Governing Council / Board Of Studies of Universities and Management Institutions as a Management Expert.

Dr. Nithin is part of various industrial associations and professional bodies; he is credited with playing a leading role in bringing land mark changes in Export Incentives, Classification of MSMEs, CPCB Norms, Waste & Disposal Management. He also plays a pivotal role in training and development of educated Youth seeking employment opportunities.

Dr. Nithin Leads a team that turned around a division and a Company, and in establishing large scale projects as bench marks in industry (This Business has won several awards at National & Regional Level which includes – Indian Foundry of the Year, Young Foundryman and Foundryman Awards, 4Star Award from CII, Green Award & Safety Award from Tamil Nadu Government & at National Level from IIF, First Indian Foundry in the segment to get OHSAS 18001 & ISO 50001 Certification and Many Kaizen awards.)

Dr. Nithin is a Managing Trustee of a Family Managed Trust involved in activities like rendering Food, Shelter, Education and Medicare. Noted for rendering services during Chennai, Kerala, Tanjore & Nilgiris Floods.

Dr. Nithin’s Academics:

• Ph.D in Management Sciences
• MBA in Finance & Marketing – Gold Medalist and University Topper
• BE Mechanical Engineer with Distinction
• An IRCA certified lead auditor and assessor for ISO 9001.
• A qualified auditor for EMS, OHSAS & EnMS
• L&T Future Leaders Training at IIM – C

Dr. Nithin’s Professional Associations:

• Member & Industry Nominee, Coimbatore Disaster Management Council
• A Guest Faculty to Premier Management Institutes & Was  Visiting Faculty to IIM – Calicut
• An examiner for Management Qualifications & Assessor for Management Teachers
• An acknowledged management trainer and consultant
• Is a regular Business Column Writer.

Dr. Nithin is a Member of:

• Foundry Development Council, Ministry of Commerce & Industries, India.
• Institution of Engineers, All India and Coimbatore Management Association
• Board of Studies in Universities & Premier Management Institutes

Dr. Nithin is Winner of:

• The Outstanding Alumni & Distinguished Alumni Awards from PSG Institutions & Bharathiar University.
• The CMA Golden Jubilee Year Best Manager award for the region.
• The Best Management Student award and many accolades at National Level.
• The Mother Teresa Award of Excellence for Young Business Managers.

Dr. Nithin’s Management Interests:

• Management of Innovation, Corporate Strategic Planning and Manufacturing Management, Green Supply Chain

Dr. Nithin can be contacted at :

Mobile : +91 94879 46900 , +91 99653 11288

LinkedIn | Twitter | Facebook | E-mail | E-mail2

Also read Dr. NITHYANANDAN DEVARAAJ’s earlier articles:

The post “TRIPLE A” LEADERSHIP appeared first on Industry4o.com.

New BRS-5G solution aims to deliver deterministic wireless communication, supporting seamless expansion and synchronization for advanced factory automation.

Belden Inc. (NYSE: BDC), a leading global provider of complete connection solutions, is showcasing a groundbreaking demonstration of the world’s first 5G industrial switch specifically designed for use on the factory floor. The BRS-5G industrial switch powered by Qualcomm Technologies will be unveiled as a concept April 20-24, 2026 at Hannover Messe, the world’s leading trade fair for the manufacturing industry.

In industrial settings, reliable communication is crucial. Private 5G technology, known for its extremely dependable and fast connections, now brings this level of precision to wireless factory operations. This means manufacturers could easily add more sensors and machinery to their existing facilities without the expense and hassle of installing new cables. The solution is designed to ensure that critical factory devices communicate instantly and smoothly, meeting the strict demands for quick responses and perfect timing, especially for synchronizing complex machinery.

The centerpiece of this demonstration is the BRS-5G, the world’s first 5G industrial switch. This innovative switch builds upon Belden‘s trusted Bobcat Rail Switch (BRS) technology, integrating advanced 5G capabilities through a collaboration with Qualcomm Technologies. It’s designed to work seamlessly with all major industrial communication standards, supporting compatibility across diverse factory equipment. Visitors to Hannover Messe will see a live conveyor belt system showcasing how sensors and drives communicate flawlessly in real-time, powered by a dedicated private 5G network.

The Snapdragon^® X72 5G Modem-RF System with industrial features is a key component, making it possible for industrial Ethernet to operate directly over 5G networks. This crucial technology transforms industrial Ethernet over 5G from a concept into a practical, ready-to-deploy solution for the first time, opening new possibilities for factory connectivity.

“The BRS-5G industrial switch represents a significant leap forward for industrial automation,” said Vinod Rana, VP, Global Products. “By combining Belden‘s proven industrial networking expertise with cutting-edge 5G technology, we’re delivering a solution that not only simplifies factory expansion but also ensures the ultra-reliable, real-time communication that modern manufacturing demands. This switch, supporting all major industrial protocols, is a testament to our commitment to empowering industries with the most advanced and flexible connectivity solutions.”

“Our collaboration with Belden is bringing the power of 5G directly to the factory floor,” said Jeff Arnold – VP & GM, Auto Telematics & Consumer/Connectivity, IE-IOT,
Qualcomm Technologies, Inc. “The Snapdragon^® X72 5G Modem-RF System with industrial features is at the heart of this innovation, enabling native Ethernet over 5G and making this groundbreaking technology a practical reality for industrial applications.

This collaboration underscores our dedication to driving the next generation of industrial connectivity, offering manufacturers unprecedented flexibility and performance.”

About Belden Inc.

Belden Inc. delivers complete connection solutions that unlock untold possibilities for their customers, their customers and the world. Belden Inc‘s advance ideas and technologies that enable a safer, smarter and more prosperous future.

Throughout our 120+ year history Belden Inc. have evolved as a company, but their purpose remains – making connections. By connecting people, information and ideas, Belden Inc. make it possible.

Belden Inc. is headquartered in St. Louis and have manufacturing capabilities in North America, Europe, Asia and Africa.

Belden Inc. Can be contacted at :

LinkedIn  | Facebook | Instagram | X/Twitter | Website | Threads | YouTube

For further details please contact :

Scott Todd
Manager, Public Relations and Thought Leadership
Belden
+1 317 316 6473
scott.todd@belden.com

Branislav Visnansky
EMG
+31 682 011 364
bvisnansky@emg-marcom.com

The post Belden Unveils World’s First 5G Industrial Switch appeared first on Industry4o.com.