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:

FaceBook | LinkedIn | YouTube | Website | E-mail

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:

LinkedIn

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.

Artificial Intelligence is rapidly moving beyond simple chat interfaces into autonomous agents capable of executing complex workflows. But as organizations scale AI adoption, a critical question emerges:

How do we safely and efficiently delegate tasks across AI agents and humans?

The concept of Intelligent AI Delegation provides a powerful framework to solve this challenge — enabling AI systems to decompose problems, assign responsibilities, monitor execution, and adapt dynamically.

This article explores the core ideas, practical implications, and why this paradigm will define the next generation of enterprise AI.

What is Intelligent AI Delegation?

Intelligent delegation is defined as a structured decision process that includes:

It goes far beyond simple task splitting — it introduces governance, safety, and adaptabilityinto AI workflows.

In essence, it transforms AI from a tool into a coordinated workforce.

Why Traditional AI Orchestration Falls Short

Most current multi-agent systems rely on static rules or heuristics. While useful for prototypes, they struggle in real-world environments because they:

The research highlights that real deployments require dynamic systems capable of continuous assessment and adjustment.

Core Pillars of Intelligent Delegation

1⃣ Dynamic Assessment

AI systems must continuously evaluate:

This ensures tasks are assigned to the most suitable agent at any moment.

2⃣ Adaptive Execution

Delegation should not be static.

Systems must be able to:

This creates resilience in complex environments.

3⃣ Structural Transparency

Opacity is a major risk in AI workflows.

The framework emphasizes:

This ensures accountability across the delegation chain.

4⃣ Scalable Coordination

Future AI ecosystems will operate like markets where agents negotiate tasks.

This enables:

5⃣ Systemic Resilience

Without proper protocols, failures can cascade across systems.

Intelligent delegation introduces safeguards such as:

How the Delegation Process Works

Step 1 — Task Decomposition

Complex goals are broken into smaller tasks optimized for efficiency and verification.

Step 2 — Task Assignment

Agents are matched based on capability, cost, and reliability.

Step 3 — Monitoring

Execution is tracked through outcome and process monitoring.

Step 4 — Optimization

Systems continuously balance trade-offs like cost, speed, and accuracy.

Step 5 — Adaptive Coordination

Tasks are reassigned if performance drops or conditions change.

These steps form a continuous feedback loop that improves reliability over time.

Human + AI Collaboration

One of the most powerful insights is that delegation isn’t just AI-to-AI.

It includes:

This hybrid model leverages the strengths of both — computational speed and human judgment.

Real-World Applications

Key Challenges to Solve

Despite its promise, intelligent delegation introduces new risks:

Addressing these will be crucial for safe adoption.

The Future: The Agentic Web

The research suggests we are moving toward an agentic web — a digital ecosystem where autonomous agents collaborate at scale.

In this world:

Organizations that understand delegation frameworks today will lead tomorrow.

Key Takeaways

Intelligent AI Delegation

Nenad Tomašev, Matija Franklin, Simon Osindero

Paper : https://arxiv.org/abs/2602.11865

About the Author :

Er. Shailesh Kumar Khanchandani  
Project Manager – AI Product & Delivery
Vishleshan AI Solutions  

Er. Shailesh Kumar Khanchandani is a results-oriented Project Management professional with over 12 years of diverse industry expertise, including 4+ years specializing in Enterprise AI, LLM Systems, and Digital Transformation.

Er. Shailesh Kumar Khanchandani career is defined by a unique blend of technical depth—anchored by an ME with Honors in Computer Science Engineering—and strategic leadership in driving high-scale ERP, EdTech, and AI/ML-based solutions.

Er. Shailesh Kumar Khanchandani currently is a Project Manager (AI Product & Delivery) at Vishleshan Software Solutions.

Er. Shailesh Kumar Khanchandani lead the implementation of enterprise-grade AI and workflow automation for industrial giants.

Er. Shailesh Kumar Khanchandani specialize in creating measurable operational efficiency through advanced technologies such as LLM fine-tuning, RAG pipelines, and intelligent assistant solutions.

Er. Shailesh Kumar Khanchandani Core Expertise’s are:

AI & ML: RAG Pipelines | LangChain | Neural Networks | NLP |
Generative AI
Project Management: Agile/Scrum | SDLC | JIRA | TRELLO | Stakeholder
Engagement
Leadership at Scale: Managed cross-functional teams of 80+
individuals, overseeing complex lifecycles from ideation through UAT.
Enterprise ERP: Directed large-scale Education ERP implementations
(Admission, Exam, SRM modules).
Full-Stack & Design: Python (FastAPI) | React | Node.js | UI/UX (Adobe
XD, Figma)
Platforms: AWS | Docker | Salesforce | Zoho CRM

Beyond delivery, Er. Shailesh Kumar Khanchandani is a published researcher and contribute to the academic community as a Guest Faculty at MBM University, lecturing on AI and Computer Networks.

Er. Shailesh Kumar Khanchandani is passionate about building practical, impactful AI products that transform government processes, educational systems & large-scale enterprise environments.

Er. Shailesh Kumar Khanchandani is Bestowed with the following Licenses & Certifications:

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

Er. Shailesh Kumar Khanchandani can be contacted at: 

Website  | LinkedIn | Facebook | Instagram | Email |  X

Mobile : +91-89468 64160

The post Intelligent AI Delegation appeared first on Industry4o.com.

Abstract: Swarm intelligence, inspired by the collective behaviour of natural systems such as ant colonies, bird flocks, and fish schools, has emerged as a promising paradigm for addressing complex problems in various domains. This paper synthesizes the existing literature on swarm intelligence principles and their applications in organizational leadership, decision-making, and problem-solving. The review studies in this paper demonstrate the effectiveness of swarm intelligence in enhancing decision-making agility, fostering collaboration and knowledge sharing, promoting adaptive and inclusive leadership, and driving organizational resilience and success. Drawing on diverse examples from both theoretical research and practical applications, we explore how organizations can leverage swarm intelligence principles to navigate uncertainty, foster innovation, and achieve sustainable growth. Insights from this review contribute to a deeper understanding of swarm intelligence as a powerful tool for enhancing organizational effectiveness and leadership in today’s dynamic and rapidly changing business environment.

Introduction

Swarm intelligence (SI), inspired by the decentralized and self-organizing behaviors of biological systems such as ant colonies, bird flocks, and fish schools, has emerged as a powerful paradigm for collective decision-making and complex problem-solving. Originally conceptualized within cellular robotic systems, SI has evolved into a multidisciplinary framework spanning artificial intelligence, healthcare, robotics, and organizational management. This paper synthesizes foundational theories, computational models, and contemporary applications of SI, with particular emphasis on its implications for leadership, organizational dynamics, and adaptive decision architectures. Through an integrative literature review, the study examines algorithmic models such as Ant Colony Optimization and Particle Swarm Optimization, alongside Artificial Swarm Intelligence systems that amplify human collective judgment in high-stakes domains such as medical diagnostics and financial forecasting. Empirical findings indicate that swarm-based systems enhance decision accuracy, reduce cognitive bias, and increase responsiveness in volatile environments. The paper further conceptualizes swarm intelligence as a leadership framework characterized by decentralization, collaborative problem-solving, inclusivity, and emergent coordination. Practical applications across supply chain management, healthcare, smart infrastructure, human resource development, and crisis management are examined to illustrate operational feasibility. While the benefits of swarm-based governance structures are significant, challenges including ethical oversight, algorithmic bias, implementation barriers, and cultural variability warrant careful consideration. The study concludes that swarm intelligence provides a robust theoretical and practical foundation for enhancing organizational resilience and sustainable performance in complex, rapidly evolving environments.

Compelling Paradigms

Swarm intelligence represents one of the most compelling paradigms in contemporary thinking about collective decision-making and complex problem-solving. Inspired by the coordinated behavior of ant colonies, bird flocks, fish schools, and other decentralized biological systems, swarm intelligence demonstrates how simple agents, operating under local rules and without centralized control, can produce sophisticated and adaptive global outcomes. Originally introduced by Gerardo Beni and Jing Wang in 1989 in the context of cellular robotic systems, the concept has evolved into a powerful interdisciplinary framework influencing artificial intelligence, organizational leadership, robotics, healthcare, and management sciences.

At its core, swarm intelligence is built upon decentralization, self-organization, and emergence. Individual agents follow simple interaction rules and respond to local information. Yet through feedback loops and dynamic adaptation, coherent, intelligent group behavior emerges. This principle, widely observed in nature, has been modeled computationally in simulations such as Craig Reynolds’ Boids model and in studies of self-propelled particle systems. These early insights laid the foundation for swarm-based metaheuristics including Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and evolutionary algorithms. Such models have demonstrated remarkable efficiency in solving complex optimization problems involving scheduling, routing, clustering, and predictive modeling.

As swarm intelligence matured within computational sciences, its conceptual expansion into Artificial Swarm Intelligence (ASI) marked a transformative shift. ASI connects human participants through real-time swarming algorithms, enabling them to converge dynamically on collective decisions that frequently outperform individual judgments. Research led by Louis Rosenberg has demonstrated that human swarms can significantly amplify diagnostic accuracy, forecasting performance, and business decision-making outcomes. Particularly striking are studies in medical radiology, where interconnected groups of physicians interpreting chest X-rays and MRI scans achieved measurable reductions in diagnostic errors and improvements in accuracy compared to traditional independent review methods. These findings highlight a crucial insight: properly structured collective intelligence can surpass even highly trained individual expertise.

However, the technological and clinical promise of swarm intelligence is accompanied by important considerations. Issues such as algorithmic bias, data privacy, regulatory oversight, and ethical accountability must be addressed carefully in high-stakes domains such as healthcare. Swarm-based systems do not eliminate human judgment; rather, they structure and amplify it. Ensuring transparency, fairness, and traceability remains essential as these systems are integrated into institutional practice.

Beyond computational optimization and healthcare, swarm intelligence has also influenced creative and artistic domains. Research into swarm grammars and swarmic art demonstrates how stochastic swarm algorithms can generate unique sketches, paintings, and visual compositions by mimicking exploration–exploitation balances found in nature. By combining localized search mechanisms with global pattern formation, these models create iterative artistic interpretations that resemble cognitive attention mechanisms. Such work illustrates that swarm intelligence is not merely a technical tool; it is a broader epistemological lens for understanding distributed creativity and emergent structure.

The evolutionary trajectory of swarm intelligence reflects a rich interdisciplinary journey. Observations of ants, bees, and termites first revealed that complex collective outcomes could arise without centralized command structures. Researchers such as Deneubourg and Bonabeau formalized underlying principles including decentralized decision-making, positive and negative feedback, self-reinforcement through pheromone signaling, and threshold-based commitment. Computer scientists then translated these principles into optimization algorithms capable of navigating high-dimensional problem spaces. Over time, swarm intelligence expanded into robotics, telecommunications, traffic systems, finance, and organizational management. Swarm robotics, in particular, demonstrated how multiple autonomous machines could coordinate exploration, search-and-rescue, and environmental monitoring tasks with robustness and scalability.

In the realm of organizational leadership and management, swarm intelligence offers a profound shift from hierarchical command-and-control structures toward adaptive, distributed leadership models. Modern organizations operate in volatile, uncertain, complex, and ambiguous environments. Traditional centralized decision structures often struggle under such dynamism. Swarm principles propose that resilience emerges when decision authority is distributed, communication channels are open, and local expertise is empowered. Research on collective intelligence and the “wisdom of crowds” supports this notion, demonstrating that diverse groups frequently outperform homogenous expert panels when decision processes are structured effectively.

Organizations that apply swarm-inspired practices tend to emphasize decentralized decision-making, rapid feedback loops, and iterative prototyping. Agile methodologies in technology firms exemplify this approach. Cross-functional teams collaborate autonomously, adjusting direction based on real-time data and stakeholder feedback. In such systems, leadership becomes facilitative rather than directive. Leaders cultivate environments that enable interaction, coordination, and psychological safety rather than issuing prescriptive mandates.

Swarm intelligence also aligns strongly with contemporary leadership paradigms such as adaptive leadership, inclusive leadership, and shared leadership. In adaptive contexts, leaders embrace uncertainty and treat experimentation as learning rather than failure. Inclusive leadership recognizes that diversity strengthens collective intelligence by broadening the cognitive solution space. Shared leadership distributes authority, allowing expertise to determine influence dynamically rather than relying strictly on positional hierarchy. These principles echo natural swarm behaviors, where no single ant directs the colony, yet colony-level intelligence thrives.

Human Resource Management further illustrates the practical application of swarm principles. Talent acquisition can benefit from collective evaluation models that incorporate multi-stakeholder input and predictive analytics. Training and development programs can be co-created through peer learning networks. Performance evaluation systems increasingly adopt 360-degree feedback frameworks that mirror swarm-inspired decentralized input mechanisms. Workforce planning, succession management, and employee engagement strategies all benefit when collective insight is structured and harnessed systematically.

Real-world applications underscore the operational viability of swarm intelligence. In traffic management, adaptive signal systems dynamically respond to real-time vehicle flows. In supply chain logistics, large retail and e-commerce firms use swarm-based algorithms to optimize routing and inventory placement. Financial institutions deploy swarm-inspired trading strategies to analyze dynamic market signals. Smart grids integrate distributed energy optimization models rooted in swarm coordination. Environmental monitoring increasingly leverages cooperative drone networks that collectively assess ecosystems. Disaster response agencies explore swarm robotics to navigate hazardous environments where centralized coordination would be too slow or vulnerable.

Within India and globally, corporations in information technology, manufacturing, telecommunications, and consumer goods have incorporated swarm-aligned principles into agile workflows, innovation platforms, and collaborative leadership development programs. These practices enhance organizational agility, knowledge sharing, and resilience while reducing bottlenecks inherent in rigid hierarchies.

Despite its transformative potential, swarm intelligence is not universally applicable without context. Organizational culture significantly influences its effectiveness. Resistance to decentralization, limited digital infrastructure, short-term evaluation metrics, and insufficient leadership commitment can constrain implementation. Additionally, measuring collective intelligence outcomes poses methodological challenges because constructs such as innovation capacity or collaboration effectiveness are multidimensional and dynamic. Longitudinal research remains essential to assess sustained impact over time.

Nevertheless, the trajectory of swarm intelligence signals a paradigm shift. It reframes leadership from individual authority to systemic orchestration. It redefines intelligence from isolated cognition to emergent coordination. It reconceptualizes problem-solving as iterative exploration across distributed networks rather than linear hierarchical planning. The fundamental insight is elegant yet powerful: when structured appropriately, decentralized agents interacting locally can generate extraordinary global solutions.

In conclusion, swarm intelligence represents a robust and evolving framework for enhancing decision-making, leadership effectiveness, organizational resilience, and technological innovation. Drawing from biology, artificial intelligence, complexity theory, and management science, it provides a scientifically grounded yet practically adaptable model for navigating modern complexity. As research deepens and interdisciplinary integration expands, swarm intelligence will likely continue shaping the future of collective problem-solving and organizational design. Its promise lies not merely in algorithms or robotics but in reimagining how humans collaborate, adapt, and lead in an increasingly interconnected world.

About the author:

Prof Dr. C. Karthikeyan 
Professor & Asst Dean – KCT-Business School,
Kumaraguru College of Technology

Prof Dr. C. Karthikeyan  is Bestowed with the following Licenses & Certifications

https://www.linkedin.com/in/prof-dr-karthikeyan-c-36820718/details/certifications/

Prof Dr. C. Karthikeyan can be contacted at :

LinkedIn | E-mail | E-mail (O) | Website | Orcid Id: 0000-0002-2018-8245

#swarmintelligence #leadership #decisionmaking #collaboration #adaptiveleadership #organizationalresilience #collectiveintelligence #innovation #problemsolving #diversity #inclusion #agility #knowledgesharing #teamwork #organizationaleffectiveness

The post Swarm Intelligence in Collective Decision-Making & Problem-Solving appeared first on Industry4o.com.

History shows that any new human-replacement tech is bound to suffer massive initial setbacks as humans always feared being replaced by something far more efficient and dependable, and also a human-creation which always succeeds, eventually!

(They must have even detested those creative / inventive humans, as suicidal or self-defeating ?)

Sabotage by affected parties?

Humans first resorted to sabotage of such tech / inventions, as in the case of the Sewing Machine, the first few prototypes of which were totally destroyed by smashing them onto the streets, by the protesting Seamstresses and their supporters.

Even those earliest prototypes, built by the inventor, Barthelemy Thimonnier, were so superior, they stitched with seams (joints or stitches) stronger than the basic cloth. No wonder the seamstresses feared loss of job! They were faster too!

The Teleprinter

Then there were skillful, agile Morse Decoding operators at telegraph offices. Only to be replaced by Telex or Teleprinter (invention of Reichspost ) which directly printed the (German / English) text on to a paper issuing out of a paper roll.

We could see, in WW II movies, these early adaptations of the Typewriter machines fitted with electromechanical solenoid-like add-ons operating the typewriter keys, then known as “Teletyping”. The intelligent and ultra-fast Morse Code technicians all got replaced en masse?

Telex itself was replaced by Fax (Facsimile) machine which just transmitted the handwritten, even signed (signature-added) message, not having to dictate and manually type a message as typewriter keys inputs.

Farm mechanization

Harry Ferguson invented the land tilling / ploughing tractor and demonstrated it in the UN Assembly, as a tool to feed the millions of hungry human beings of the world, by speeding up the crop farming process. Sowing, Reaping machines, combine-harvesters followed suit.(Massey Ferguson, the collaborators of TAFE – Tractors And Farm Equipments Ltd., Chennai, India are an offshoot of this inventor-company). So, mechanization of non-intelligent, skilled labour might have been relatively easier, compared to AI.

Computers Vs Humans

When computers came, lots of clerks and qualified, experienced employees felt their worst enemy has come. Long back, at ISI (Indian Statistical Institute), Kolkata there were massive demonstrations against the IBM computer that was just arriving. That IBM Mainframe was perhaps one of the first 3 computers to be imported into India.

AI making inroads despite initial hiccups

Self-Repairing and Self-Replicating robots have already made inroads as early as the 2010s.

An MNC GCC (Global Capability Center) in India is considering , within a year, a cadre reduction of junior staff from 495 to 5 with AI adoption.

16,000 employees replaced by AI at Amazon. Menial jobs at Logistics positions in their Warehouse too are being replaced by dexterous robots. It can get more ruthless. Brace yourself.

A Tesla autonomous car, couple of years back in the USA, fatally crashed into a crossing truck at an intersection as the colour of the truck was similar to the background evening sky. Such errors are far fewer in between now as AI is fast improving.

So, AI in its present form of either Alpha or Beta version may suffer setbacks but ultimately replace “huge swathes” of skillful / expert humans. It is a fact. It may be only a matter of time?

Thank the inventor-folks — if you are an AI hater — releasing untested or unfixed (of bugs) versions hastily into the market only to face market backfire!

Thus the hopefuls of those sticking along in the job develop a false sense of superiority — even job security? — that they, being humans, can never be replaced. They are just sitting ducks.

But the Autonomous cars of today, for instance, are far more advanced. Equipped with NVIDIA high performance, high speed chips and MATLAB mathematical concepts, and myriad sensors, these cars can “see” and identify the road users (humans) and objects. The sensor-fusion LIDAR camera  can identify if it is a fog, or a bush, or is it a human being ahead of it in the road. Also, from the angle between the standing person’s legs, that is, if the legs are apart, the vehicle senses that the person ahead, on the sidewalk, may move in the path of the vehicle. The vehicle even verifies if the person / pedestrian has seen the vehicle approaching or not. If he or she is unaware of the vehicle approaching, the vehicle is even more cautious, ever ready to apply the brakes. If a ball comes rolling across the road ahead, the AI of the car even expects a child chasing or following the ball. This tech is known as ADAS (Advanced Driver Assistance Systems).

Such ADAS incorporates TCS (Traction Control System), ESP (Electronic Stability Program) which integrates suspension, steering and braking systems and many others as one cohesive system to make the modern day car nearly like a living being (a 4-legged, agile animal) with locomotion – and almost as sure-footed as a mountain-goat!

Recently, it was reported that the AI-enabled surgical robots were making mistakes due to the robot wrongly identifying some human anatomical zones / organs. But, the experts are exhorting that a mixed approach of human experts (surgeons) assisting the AI-enabled robots will be more practical, till the dependability of AI improves.

Samsung which invented the internet-enabled Refrigerator around the year 1997 is now marketing AI-enabled Fridges which suggest a cooking recipe based on the fridge contents. The rice-and-dried-fish-to-electronics-chips giant is tasting success after success.

Aspiring Post Graduate Students are banking on Chat GPT/Gemini for the SOP (Statement Of Purpose) for admission into elite universities of USA. It will be only a matter of time before they find out what the selecting Professor likes in a prospect student and infuse those into the Report. Such AI tools are triumphantly used by students for the Project Work, doctoral thesis also.

The likely Forerunners of AI

 In the late 1970s, Alfred Teves GmbH of Germany, (now Conti tech), developed car Disc Brakes with Disc wear (Dashboard) indicators which are just an electric circuit-completing terminal embedded into each Brake Pad. Then the Brake Fluid level indicators of the Fluid Reservoirs followed. For dual brakes, there was a  tiny piston, in parallel, which was balanced by equal fluid pressure on both ends and the loss of pressure by brake fluid leak of any one brake circuit will push this piston to activate a micro-switch for Dashboard Alert. This warned the driver of the partial brake failure and that the stopping distance will be nearly double. Such primitive pure electro-mechanical sensing devices in-built into mechanical assemblies might have inspired the embedded systems which came later. These have morphed into advanced sensors and actuators of today.

Bertram Raphael of SRI (Stanford Research Institute), Author of the book, The Thinking Computer, used to research on AI Robots and Machine Vision as far back as 1968.

Why the successful  advent of AI is certain?

 There are now scientific ways to accurately capture, collate the knowledge of thousands of experts, like lawyers, brain or kidney, or heart surgeons, and organize them in an orderly fashion for assimilation by machines / artificial systems for designing the algorithms.

Statistics and Probability Sciences, high speed Processors, advanced Reliability Testing
methods and entrepreneurs willing to invest in these abound. Aided by cash-rich corporations which suffer at the hands of unionised highly skilled labour, AI sweep is now imminent with the advent of advancements of Data Sciences.

First it was Parallel Processing of Supercomputers, then High Speed Processing, then High Performance Computing but now it is Quantum Computing using Cloud.

According to a Readers’ Digest article, the more diverse or varied are the subjects a human brain holds, the more creative and imaginative the brain becomes. But, even the most advanced brain is not as good as an artificial chip which can capture the intelligence of thousands of Subject Matter (Domain) Experts as an AI System.

We have seen Cyborgs, Sci-Fi Terminator movies, and now, even the brain thought process has been mapped.  Ethical questions apart, AI is certainly the future. The extreme electric power and cooling water thirst of AI Supercomputers will also need to be addressed by the society.

Biomimicry

Right from the bats which inspired the RADAR and SONAR and the honeybees which made men invent the DuPont Nomex honeycomb panels of Aircrafts and Satellites, Nature has been inspiring (non-materialistic) Intelligence also. Thank God, they don’t sue us for Copyright Infringement!

Did we say, we can gather the knowledge of thousands of experts? We were wrong! We should have said that not only thousands of human experts but also from Mother Nature. That is, from all living creatures, and also non-living matter — their survival tactics, behaviours, communication and reproduction methods, self-preservation strategies,  proliferation, extreme tenacity, thriving in adverse conditions — like the strange organism / bacteria which survives on nuclear reactor cores, how they mitigate risks, etc. Man has to just look at Nature for exceptional, effective solutions for his managerial, financial, family, engineering, emotional problems. The solutions for millions of problems of humankind are already staring at man, from Nature. Already analogies among Nature, Universe, Mechanical Engineering, Electrical Engineering, Hydraulics Engineering can be seen and studied / compared against each other.

Quest for excellence – a Triumph of Life?

The more are the failures encountered by AI experts, the more determined they are driven to perfect and excel in their outputs. Be it heavier-than-air flight, Space Research, vaccines, or Defence Tech, the humans thrive on challenges.

Human civilization always stands on the shoulders of the discoveries, inventions, patents and the ensuing advancements of the (primitive) previous generations, to reach for the sky and the capabilities and potential of the culmination of the diverse knowledge domains of today — which reinforce each other exponentially in effect, and their myriad combinations are infinite.

Already there’s a massive chips shortage, experienced in the automotive, home appliances sectors, driven by the surge in AI Systems demands.

Those who are adamant in not unlearning their outdated knowledge and unwilling to adapt to the changing times – by re skilling / Up Skilling – will be the losers?

About the Author :

Mr. Mohan Kalaiyappan
CTO & Director – Technical (VA, VE & CIP)
eMachineShop

Mr. Mohan Kalaiyappan is a Production Engineering graduate from NIT, Trichy with 44 years of expertise.

Mr. Mohan Kalaiyappan has worked on R & D of Air (ZF-WABCO) & Hydraulic Brakes, Disc Brakes, Clutches (Maruti Suzuki), Supply Chain Management, Reverse Engineering of Steel Plant parts (Vizag Steel), Quality Management Systems at G-Plast & Janatics.

Mr. Mohan Kalaiyappan was Principal Consultant at TCS Global Sourcing Department, Project Manager for Daimler India Heavy Duty Truck Prototype build and SME (Subject Matter Expert) for Indian Offset Partner (Axis Cades Aerospace) of Thales for the IAF Mirage 2000 fleet Mid Life Upgrade Project.

Mr. Mohan Kalaiyappan was the resident trainer at the Airbus Fuselage Design Center of India (AFDCI) hosted by the Axis Cades Engineering Technologies Ltd. Hebbal, Bengaluru.

Mr. Mohan Kalaiyappan was also the Program Manager for the Drone development – by the retired Tejas (LCA) Experts – for use at the LoC, by the Indian Army.

Mr. Mohan Kalaiyappan is currently the CTO and Engineering Head of emachineshop.in Global Metrology giants like Mahr, Mitutoyo and Carl Zeiss trust  eMachineShop  for their critical, precision-engineered, metrology subsystems of the products such as Bore Surface Roughness Tester / others – used by discerning clients such as Craftsman, Coimbatore and Bharat Forge, Pune .

Mr. Mohan Kalaiyappan is an ISI Certified Six Sigma Black Belt and an ASQ Certified Reliability Engineer.

Mr. Mohan Kalaiyappan is a classic member of SAE and a Life member of Aeronautical Society of India.

Mr. Mohan Kalaiyappan interests include AR, Drones and 3D Printing.

Mr. Mohan Kalaiyappan can be Contacted at :

LinkedIn | E-mail (P) | E-mail (P) | E-mail (O) | +91 94437 20397 (WhatsApp) | +91 73974 81081

About eMachineShop :

eMachineShop is your trusted partner in engineering innovation and precision.

Since eMachineShop establishment in 2014, it has been at the forefront of developing cutting-edge engineering and metrology products.

eMachineShop mission is to empower industries and individuals with high-quality solutions tailored to their specific needs.

At eMachineShop, we specialize in :

eMachineShop can be contacted at :

LinkedIn | Web | Instagram | YouTube | E-mail  

Also Read Mr. Mohan Kalaiyappan Earlier Articles :

The post AI vs HUMANS appeared first on Industry4o.com.

How do digital Live Permits transform “work orders” into a process that keeps pace with reality?

In many industrial plants, work permits still act as a “handbrake” for organizations: paper, signature circulation, scattered information, lack of up-to-date information, and limited visibility of what is actually happening on site. The problem is not just about convenience – it’s about safety, accountability, and the ability to respond quickly to changing working conditions.

Meanwhile, dangerous and critical work (e.g., hot work, work at height, work in hazardous areas, servicing during plant operation) does not happen according to an “ideal plan” — it happens in a dynamic, changing environment. This is why classic work orders often lose out to reality: they are not updated, they are not consistent with who is actually where, and they do not create a single version of the truth for health and safety, maintenance, and external companies.

Live Permits is an approach in which a work permit is not a document “for the archives,” but a living operational process — updated in real time, linked to the location and status of activities on site. This is how we build the system at InnerWeb®.

The challenge: safety vs. speed vs. complexity of operations

Before we move on to technology, it is worth identifying the sources of friction that almost always arise in work permit processes:

As a result, the organization chooses between two bad options: either the process is “tight” but slow and cumbersome, or fast but risky. Live Permits are designed to resolve this conflict — through automation, consistency, and timeliness, not by “letting go” of safety.

Where do Live Permits provide an operational advantage?

Below are the key areas where the “live” approach really changes the quality of the
process.

1. Digital permits as a common “point of truth”

The work permit becomes the central object of the process, rather than a form.

2) Real-time updates – a process that keeps pace with change

The biggest difference between an “e-permit” and Live Permit is that the permit is not static.

Example: if a new risk arises in the zone (e.g., parallel work, leak, parameter exceedance), the permit can be automatically switched to “suspended” mode until corrective actions are confirmed.

3) Location as a safety context (geofencing, zones, plan compliance)

At the heart of the InnerWeb® approach is the linking of work permits to the
actual workplace.

Implementation example: in one of the EU-funded pilot projects at the MAN Trucks
plant in Niepołomice, the process included monitoring work permits, training
requirements for external companies and visitors, along with familiarization with the
current risks when entering the plant, alongside the location of trucks and drivers
moving around the facility – using the dense infrastructure of InnerWeb® Industrial
Radio Beacons (over 200 BLE transmitters on the plant’s internal roads). This shows
that work permits can operate in the same “data language” as logistics and traffic
safety at the plant.

4) Competencies and authorizations – “who can” is verified automatically

Live Permits is not just a form – it is compliance logic.

Example : if current training and specific qualifications are required for hot work, the
system can block the start of work without meeting the conditions.

5) Particularly hazardous work : standards, LOTO, and condition control

For high-risk areas, repeatability and clarity of standards are important.

Example : Activating a permit to work in a confined space may require confirmation
of atmospheric measurements and a rescue plan – without this, the “in progress”
status is not possible.

6) Cooperation with security and gate –admission and verification at the entrance

In practice, many problems begin at the entrance to the facility: incomplete
documents, lack of confirmations, unclear scope.

Example : security can see whether a person has active access to a specific job and
zone, instead of relying on paper or declarations.

Additional features that complete the picture of the plant’s “operating system”

Live Permits work most effectively when they are part of a broader ecosystem: safety, maintenance, and logistics.

Key success factors for Live Permits implementation

Risks and issues to consider

What’s next: from “LIVE” permits to predictive prevention

The next step is to use data from the process (statuses, holds, conflicts, events,
locations, schedules) to predict risks and eliminate them in advance:

Live Permits is the foundation: if an organization has a single version of the truth about field work, it can realistically move from reaction to prevention.

Conclusions

Live Permits is a practical response to a problem that is commonplace in many plants today: safety requires tightness, and operations require speed. Digital work orders with real-time updates — linked to location and compliance requirements – allow these goals to be reconciled without compromising safety.

At InnerWeb®, we build solutions for industrial environments where it is not only “compliance on paper” that counts, but also real control of working conditions, transparency for stakeholders, and the ability to respond quickly. Our implementations and pilot projects show that this model works when it covers the entire ecosystem: health and safety, maintenance, contractors, security, and logistics on site.

About the Author :

Mr. Marcin Worecki,
CEO & Founder
InnerWeb Sp. z o.o. 

Mr. Marcin Worecki, CEO of InnerWeb®, is a visionary engineer with over 20 years of technical and industrial experience.

Together with his team, Mr. Marcin Worecki creates unique legal technology for modern industrial plants based on his own experience, customer requirements, and a deep understanding of the global problem of work permits in industrial plants.

As a result, the InnerWeb® System covers the entire process of managing external technical personnel, from training upon entering the plant, through written instructions for work and particularly dangerous work, as well as audits, acceptance, and permit renewals. InnerWeb® combine electronics, physics, algorithms, artificial intelligence, augmented reality, blockchain, web and mobile applications.

InnerWeb® has based their legal technology on a real-time location system, which also allows InnerWeb® to supervise the work being carried out, improve safety and alert in case of danger, which InnerWeb® protect with a patent in 23 countries (EU and US).

New technological solutions are InnerWeb®‘s passion, allowing InnerWeb® to fully realize their potential. InnerWeb® is open to cooperation and focused on completing the tasks assigned to them. InnerWeb® deliver extremely difficult projects and objectives, making the impossible possible. InnerWeb® operate quickly, dynamically, effectively, and proactively.

Mr. Marcin Worecki can be contacted at:

LinkedIn | E-mail 

About InnerWeb® :

InnerWeb® provides technologies for industrial environments, focusing on safety, maintenance, and organizational efficiency.

InnerWeb® combine software and infrastructure (including BLE) to build location and process solutions, such as Live Permits (mobile work permits) and systems that support real-time risk control.

InnerWeb® carry out projects in the form of implementations and pilot programs, including co-financed projects, where, in addition to process digitization, verification of operational value in real plant conditions is key.

InnerWeb® can be contacted at :

InnerWeb®
ul. Michała Grażyńskiego 14
43-300 Bielsko-Biała, Polska

InnerWeb®’s Social Media Handles :

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The productivity ceiling today is poor human-machine interaction, not lack of automation.

(Aligned with the European Commission Industry 5.0 vision)

So what : The factories that win combine human judgment + machine intelligence,  not one versus the other.

Industry 5.0 Changes the Goal of Manufacturing

Efficiency alone is no longer enough;  human-centric value now defines competitiveness.

(Reinforced by World Economic Forum and EU Industry 5.0 frameworks)

So what : Industry 5.0 is not more tech,  it’s better alignment between people, machines, and purpose.

Humans and Robots Now Do What Each Does Best

Division of labor, not substitution, unlocks the next productivity curve

So what : Industry 5.0 replaces the “automation vs jobs” debate with automation for better jobs.

Where Human-Robot Collaboration Actually Works

Productivity gains now come from redesigning work, not just automating tasks.

So what : Productivity no longer comes from automation alone, it comes from designing work around collaboration.

Collaboration Delivers Resilience, Not Just Productivity

Resilient factories outperform purely automated ones in volatile conditions.

As highlighted by McKinsey and Deloitte, human-machine collaboration is now a competitive differentiator, not a cultural experiment.

So what : Collaboration creates robust factories, not brittle ones.

Human-Centric AI Is the Real Breakthrough

AI doesn’t remove humans from the loop; it makes their decisions smarter

So what : The highest ROI AI systems are collaborative, explainable, and operator-centric. From autonomy to augmentation

Industry 5.0 Makes Factories More Resilient, Not Just Efficient

Resilience beats pure efficiency in a world of constant disruption

So what : Industry 5.0 turns factories from brittle efficiency machines into adaptive, shock-resistant systems.

Industry 5.0 Is a Leadership Choice, Not a Technology Upgrade

Technology enables collaboration; leadership makes it real.

So what: Industry 5.0 leadership is not about choosing humans or robots.
It’s about designing systems where both win together.

Closing Takeaway

The future factory is not dark and empty. It is intelligent, collaborative, and human-centric.

Factories that understand Industry 5.0 won’t just be automated, they’ll be adaptable, resilient, trusted, and future-ready.

About the Author :    

Mr. Gulshan Kumar Saini
Senior Director
Samsung Electronics

Mr. Gulshan Kumar Saini is a global manufacturing, operations excellence, and smart factory transformation leader with over 30 years of leadership experience at Samsung Electronics, spanning senior roles across India, Vietnam, Korea, Russia, and the United States.

Mr. Gulshan Kumar Saini currently serves as Senior Director – Smart Factory at Samsung Electronics India, where Mr. Gulshan Kumar Saini spearheads enterprise-wide digital transformation initiatives across advanced manufacturing lines for consumer electronics and durables.

Mr. Gulshan Kumar Saini leads the deployment of AI-driven manufacturing systems, industrial robotics, IIoT platforms, machine vision, advanced analytics, and Digital Twin technologies to drive next-generation factory performance.

Mr. Gulshan Kumar Saini is widely recognized for delivering large-scale automation, step- change productivity improvements, and sustainable cost, quality, and efficiency gains in high-volume, high-complexity manufacturing environments. Across his career, Mr. Gulshan Kumar Saini has successfully led global NPI programs, greenfield and brownfield plant setups, capacity expansions, lean transformations, and multi-country manufacturing excellence programs.

Mr. Gulshan Kumar Saini is a PMP-certified professional and Six Sigma Black Belt, Mr. Gulshan Kumar Saini also holds an MBA in FinTech from BITS Pilani, combining strong digital, financial, and operational acumen to translate technology into measurable business outcomes.

Mr. Gulshan Kumar Saini is Bestowed with the following Licenses & Certifications

https://www.linkedin.com/in/gulshan-kumar-saini/details/certifications/

Mr. Gulshan Kumar Saini is Accorded with the following Honors & Awards

https://www.linkedin.com/in/gulshan-kumar-saini/details/honors/

Mr. Gulshan Kumar Saini can be contacted at:

Linked In | E-mail

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Executive Summary

Manufacturing is at an inflection point. Persistent supply chain volatility, increasing product complexity, workforce challenges, and rising sustainability expectations are exposing the limits of fragmented digital initiatives. Incremental automation and isolated digital tools are no longer sufficient. What is required is a more holistic transformation of how products are designed, produced, operated, and sustained.

Industry 5.0 reframes the manufacturing agenda around human centricity, resilience, and sustainability. Achieving this vision depends on Smart Manufacturing and the Factory of the Future, enabled by tightly integrated digital technologies, advanced analytics, and adaptive systems that connect engineering, supply chain, manufacturing & operations, quality & regulatory, and service.

This article presents a pragmatic roadmap for manufacturers seeking to move from ambition to execution. It highlights the role of ET-IT-OT-AI integration, Digital Threads & Digital Twins as foundational capabilities, and the practical application of emerging technologies such as Artificial Intelligence including Generative AI and Industrial AI, robotics, and the industrial metaverse.

Industry Context and Key Trends

The transition from Industry 4.0 to Industry 5.0 builds on connectivity and automation but extends the focus to collaboration between humans and intelligent systems, long term sustainability, and operational resilience.

Smart Manufacturing and the Factory of the Future

Smart Manufacturing and the Factory of the Future are not abstract concepts. Together, they represent an integrated, intelligent, and adaptive manufacturing ecosystem that seamlessly connects physical operations with digital intelligence.

Smart Manufacturing and the Factory of the Future

Smart Manufacturing and the Factory of the Future are not abstract concepts. Together, they represent an integrated, intelligent, and adaptive manufacturing ecosystem that seamlessly connects physical operations with digital intelligence.

 Core Principles and Characteristics

 A Pragmatic Roadmap to Transformation

Transformation must be phased, outcome driven, and scalable. Successful manufacturers approach Smart Manufacturing as a journey rather than a single program.

 Illustrative Examples

 Outcomes and Value Realization

Organizations that embrace Smart Manufacturing and the Factory of the Future capabilities consistently report measurable business outcomes. These include cycle time reductions of up to 45%, defect reductions approaching 40%, operational cost savings between 15% and 30%, meaningful reductions in energy use and emissions, and improved workforce safety alongside faster skill development.

 Conclusion

Smart Manufacturing and the Factory of the Future are no longer optional initiatives for manufacturers across discrete and process industries. They are strategic imperatives. By integrating engineering, information, and operational technologies, applying Industrial AI, robotics, and immersive technologies, and embedding sustainability and human centric design, organizations can achieve the agility, resilience, and competitiveness required in an Industry 5.0 world.

The path forward is pragmatic. Establish strong digital foundations. Scale intelligence and immersive capabilities where they deliver value. Sustain progress through continuous innovation and learning. Industry 5.0 is not about replacing people with machines. It is about building collaborative ecosystems in which technology amplifies human capability and judgment.

To explore practical research, frameworks, and real-world approaches for advancing Smart Manufacturing and the Factory of the Future, visit HitachiDS.com.

About the Author

Mr. Sankar Natarajan
Senior Director & Global Head of Digital PLM, Smart Manufacturing & Ops and Industrial Metaverse Practices
Hitachi Digital Services

Mr. Sankar Natarajan is the Senior Director and Global Head of Digital  PLM, Smart Manufacturing & Ops, and Industrial Metaverse practices at Hitachi Digital Services.

Mr. Sankar Natarajan leads the global strategy, solutions, go-to-market initiatives, and delivery of integrated digital transformations across products, factories, operations, and sustainability.

Under Mr. Sankar Natarajan leadership, teams drive large-scale innovation across the Hitachi Group of Companies and a rapidly expanding global client base.

With 20+ years of experience, Mr. Sankar Natarajan is a recognized industry thought leader in engineering, product development, supply chain, manufacturing, and operations.

Mr. Sankar Natarajan partners with leading organizations to develop outcome-driven digital transformation strategies, ensuring excellence in product innovation, supply chain and manufacturing operations, quality, regulatory compliance, and environmental sustainability.

By leveraging design thinking, digital & AI capabilities, and cutting-edge technologies, Mr. Sankar Natarajan helps businesses achieve measurable impact and long-term success.

Mr. Sankar Natarajan can be contacted at:

LinkedIn

About Hitachi Digital Services 

Hitachi Digital Services, a wholly owned subsidiary of Hitachi, Ltd., is a global systems integrator powering mission-critical platforms with people and technology.

Hitachi Digital Services help enterprises build, integrate, and run physical and digital systems with tailored solutions in cloud, data, IoT, and ERP modernization, underpinned by advanced AI.

By combining Information Technology and Operational Technology (ITxOT), Hitachi Digital Services drive efficiency, innovation, and growth across industries.

With over 110 years of Hitachi Group’s engineering and technology leadership, Hitachi Digital Services is powering smarter platforms for a safer, more sustainable future.

To learn more, visit hitachids.com

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About the Author :

Mr. Nathan Owens III 
Strategic Consultant,
GLG

Mr. Nathan Owens III is an executive leader specializing in SaaS business models, industrial automation, and commercial strategy.

Mr. Nathan Owens III has a proven record of driving ARR growth, optimizing CRM systems, and implementing value-based pricing while tailoring communication across C-suite and individual contributor levels.

Known for blending strategic rigor with humility and emotional intelligence, Mr. Nathan Owens III applies servant leadership principles to empower teams and deliver measurable transformation.

Mr. Nathan Owens III expertise spans subscription optimization, channel sales, predictive analytics, and digital manufacturing platforms, supported by strong financial modeling and scenario analysis skills.

Beyond his professional focus, Mr. Nathan Owens III is committed to civic engagement and supporting community-driven enterprises.

Mr. Nathan Owens III is Bestowed with the following Licenses & Certifications

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

Mr. Nathan Owens III is Accorded with the following Honors & Awards

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

Mr. Nathan Owens III is Volunteering in the following International Industry Associations & Institutions

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

Mr. Nathan Owens III can be contacted at:

LinkedIn | E-mail

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Its true – Organizations should outlive, if not preferably outpace, the People – who start, build,& sustain it and sometimes unsustain it as well. This article is a result of continuous interactions with Leaders, their Organizations and others across 4 decades – Both Family Managed and Corporates, real & felt. As a Professional groomed to be an Intrapreneur since early days, up bringing has been a kind of Classical in the sense of mixing the Flavours of both Corporate and Family Business Styles & Culture, thanks to Business Owners and Superiors.

A firm believer in Observational Learning, having had much larger Customers and Suppliers, Learning has been tremendous over the Years – both Good & Otherwise. Many a times I have had the opportunity to look at both what should be and what should not be. Sustaining the success of Organizations across dynamic business scenarios, I firmly attribute to the resilience of the Top Management – their agility and ability to think differently and most importantly being appropriately Decisive.

Professionally or Owner Managed

Bitten by the Entrepreneurial bug, I decided to Superannuate on time. This decision was kind of influenced by my observations about lack of appreciable difference between a Professionally & Owner Managed Organization. It is also a decision based on What one should not do – Extensions. Many times I hear people remarking that “Owners cannot retire” as much as “Professionals don’t want to retire”. Though this appears to be dependent on Personal Priorities and Pre-occupations, I have observed that this is something to do with Self-confidence, ability to live beyond the Organization, the Trust they have on their second and third line irrespective of a Fellow Professional or a Family Member, and most importantly their own vulnerabilities post dis-engagement.

The Process

There is a need for me to make some submissions here – I have had the opportunity to get trained the Swiss Way, adopt the Japanese Way and live a Consumer life American Way. This being said, I believe in looking at every aspect of Managing or Mismanaging a Business as a Process. And Transition planning is one such critical Process.

Organization Design

Looking at Transition Planning as a Process, it starts with the very organizational design.
Trajectory of evolution of an Organization, though cannot be predicted accurately, need to be atleast visualized. Else may give way to either under and over staffed scenarios. I have personally preferred understaffed scenarios as a strategy until the Organization really Grows – for two reasons. Firstly, it prepares Employees for additional responsibilities and secondly, it cushions the Organization against adverse impacts. Given the different possibilities, an Organization Design should accommodate for both Growth and Stable phase. Opportunity to Grow Vertically in an Organization will depend on the Employee willing to take additional responsibilities.

Time Lapse & Promotions

Structured and Stream Lined promoting of Employees is certainly a way of Transition Planning. There are a few precautions though, which are pertinent – Promotion should be only for additional, well differentiable Role & Responsibilities. This should certainly be not based on time lapse, age & experience. It should also be reckoned that, as Employees Grow higher up in Hierarchy, Opportunities will become rarer. Promotion should also be not based on either output increase or sales revenue increase. This simply means, Promotion for the sake of Promotion and based on Year on Year increase in sales should be avoided.

Letting Go

Sometime earlier I have written an exclusive article on Letting Go as a Business strategy drawing parallel to Successful Batting in Cricket. Shall confine this time Letting Go from the perspective of Organizational Transition. Real Transitional Growth happens within an Organization and for the People in it, only when the incumbents are willing to Delegate and let go of their Authority and Control. This is true both for Grooming Next Gen Employees and Family Members. Leaders often ignore the fact that Controlling & Monitoring are very very different. Likewise, at some stage Organization may exhaust options to promote even Deserving Employees. This is the time when we should let go of such Good Employees – both for Organization & Employee sake. This is simply to avoid complicating the Organization structure. There are many successful companies/ organizations wherein the original promoters have relinquished their Ownership for the larger good of the Organization.

Succession Planning

Having been a witness to many dilemmas, both within and outside Organizations, succession planning is invariably biased. A lot of emphasis is given to Loyalty than that of Efficacy, however rigid and objective the evaluation process may be. Despite this, its important succession planning is built into the Organizational Planning Process. A good plan should include creating opportunities (vacancies) at regular intervals and letting go people, authority and control at regular intervals. A Leader is only good as much as he is willing to relinquish his own Role & Responsibilities. It is also a fact that only such Leaders can ensure Leadership pipeline. This is true both for Owners & Professionals, and should be seen only from that of Organizational Perspective and never from that of a Family or Loyalty.

Goals, Objectives & Measurements

Any Transition and Succession planning will not be complete without insistence of Metrics.
Mutual transparency about Expectations, Goals & Objectives is essential. Periodic review and reassessments will then determine the readiness of both the individual and the organization. Both for Professional and Family such measurements should be Professional and in its Truest Sense for the Organization to be successfully sustainable.

About the Author :

Dr. NITHYANANDAN DEVARAAJ (NITHIN) BE., MBA., Ph.D
Independent Board Member & Business Excellence Expert.
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:

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A White Paper on the Future Paradigm of Intelligent Systems, Tools, and Industry Transformation

Introduction:

The global AI landscape is shifting from deterministic pattern recognition toward a new intelligence frontier grounded in statistical reasoning, probabilistic inference, and causal understanding.

This transformation marks the rise of Statistical AI — a paradigm that blends the rigor of statistical science with the scalability of modern machine learning (ML). Statistical AI is not an alternative to AI; it is the foundation of its future.

By embedding inference, uncertainty quantification, and contextual learning at the core of algorithms, Statistical AI creates systems that are data-efficient, interpretable, and adaptive across domains — from financial modeling and healthcare analytics to industrial automation and energy systems.

This white paper outlines:

• the technical evolution driving Statistical AI,
• industry-grade tools and frameworks enabling it,
• sectoral applications, and
• a strategic vision for integrating Statistical AI as a national and enterprise capability.

The Market Outlook: The Decade of Statistical AI:

The worldwide AI industry is expanding exponentially. According to Grand View Research, the global AI market will grow from USD 390.9 billion in 2025 to USD 3.5 trillion by 2033 — a CAGR of approximately 31.5%. Extending this projection through 2035 yields a potential market size of around USD 6 trillion.

Within this broader landscape, several sub-markets directly align with Statistical AI’s growth trajectory:

(Projections based on Grand View Research, MarketIntel, and extrapolated CAGR trends)

These growth dynamics reflect a structural transformation: the rise of Statistical AI as a differentiator in both predictive power and interpretability.

1. Why the AI Ecosystem Needs a Statistical Core

1.1 The Plateau of Pure Machine Learning

Over the past decade, deep learning has dominated AI progress. Yet leading research institutions and enterprises are observing saturation in accuracy gains — with models demanding exponential data and compute for marginal improvements.

According to Stanford’s AI Index 2025, model training costs have increased by over 250x between 2018 and 2024, while real-world generalization and interpretability have stagnated. The dependency on massive labelled datasets is becoming a bottleneck.

1.2 Statistical Intelligence: The Missing Engine

Statistical AI provides the structural discipline missing in current AI systems:

• Inference-driven learning instead of blind fitting.
• Uncertainty quantification that captures confidence and risk.
• Causal modeling that explains relationships, not just correlations.
• Probabilistic integration across multi-source, noisy, or missing data.
• Parameter efficiency and robustness to small or drifting datasets.

These principles restore the scientific foundation of AI — enabling systems that are adaptive, explainable, and mathematically consistent.

2. Defining Statistical AI

2.1 Conceptual Definition

Statistical AI is the integration of probabilistic and inferential principles into machine learning architectures, enabling AI systems to reason, quantify uncertainty, and generalize beyond observed data.

2.2 Technical Pillars

3. Tools and Technologies Powering Statistical AI

The ecosystem for Statistical AI is rapidly maturing, with several tools bridging statistics and AI pipelines:

These platforms signify a decisive shift: statistical inference and uncertainty quantification are becoming first-class citizens in AI engineering.

4. Cross-Industry Applications and Technical Impact

4.1 Financial Services

Problem: Traditional ML credit models overfit and lack causal interpretability.
Solution: Bayesian credit risk modeling with causal attribution and predictive intervals.
Tools: TensorFlow Probability + DoWhy + Fiddler AI for interpretability.
Outcome: Transparent, regulator-ready credit models with quantified confidence.

4.2 Healthcare and Life Sciences

Problem: Clinical data is heterogeneous, uncertain, and incomplete.
Solution: Probabilistic deep learning for diagnosis and treatment response modeling.
Example:DeepMind’s Bayesian medical imaging systems produce uncertainty maps for radiologists, improving diagnostic trust.

4.3 Manufacturing and Industry 4.0

Problem: Predictive maintenance under sensor noise and missing data.
Solution: Gaussian process models and Bayesian reinforcement learning for adaptive control.
Impact: Reduction in downtime through statistically confident maintenance alerts.

4.4 Energy, Climate, and Smart Infrastructure

Problem: High variability in renewable energy output and demand forecasting.
Solution: Hierarchical Bayesian time-series forecasting with hybrid ML models.
Toolkits:PyMC + Prophet + TensorFlow Probability for robust energy forecasting.

4.5 Retail, Supply Chain, and Logistics

Problem: Data sparsity and behavioral uncertainty in consumer patterns.
Solution: Hierarchical Bayesian demand models with dynamic priors and causal signals (marketing, events, seasonality).
Outcome: Inventory optimization and more stable recommendation systems.

5. Statistical AI in Enterprise Architecture

5.1 Integration Framework

A future-ready AI ecosystem will adopt a Statistical AI stack, combining four layers:

1. Data Foundation Layer – Metadata, lineage, and statistical data quality metrics.
2. Inference & Causality Layer – Probabilistic programming and causal reasoning frameworks.
3. Hybrid Learning Layer – Bayesian deep learning, Gaussian processes, and interpretable neural networks.
4. Governance & Assurance Layer – Continuous model validation, drift detection, and statistical calibration.

5.2 Architecture Example

This layered design positions statistical reasoning not as a wrapper but as the analytical core of the AI system.

6. The Future Vision: Statistical AI as the Brain of Intelligent Systems

6.1 Fusion of Generative and Statistical Intelligence

The rise of Generative AI (e.g., GPT, Gemini) highlights a paradox: powerful pattern generation but uncertain reasoning. The next step is Statistical Generative AI — models that combine probabilistic reasoning, uncertainty tracking, and interpretability within generative architectures.

Emerging examples include:

• Bayesian Transformers: integrating uncertainty in large language models.
• Probabilistic Diffusion Models: quantifying sampling confidence in generative tasks.
• Causal Generative Models: learning data generation processes grounded in domain causality.

6.2 Predictive and Prescriptive Convergence

Statistical AI closes the loop between prediction and prescription:

• Predictive analytics quantifies what will happen.
• Statistical AI explains why and with what confidence.
• Prescriptive AI acts on decisions weighted by statistical certainty.

6.3 Towards Cognitive Statistical Systems

In the coming decade, AI systems will learn, reason, and decide like scientists — not just classifiers.
They will:

• Continuously learn priors from experience,
• Quantify and communicate uncertainty,
• Adapt decisions through statistical feedback, and
• Integrate symbolic reasoning with data-driven inference.

This evolution defines the AI 3.0 Era — where statistical intelligence becomes synonymous with artificial intelligence.

7. Strategic Roadmap for Enterprises and Governments

 The decade from 2025 to 2035 will witness a transformation of how AI is built, governed, and deployed — powered by the principles of Statistical AI.

Key Predictions:

MultimodelAI Convergence: Enterprises will move toward systems that can integrate models across diverse modalities (text, vision, signal, tabular).

Uncertainty-Aware Decision Systems: Decision engines will explicitly consume model uncertainty for cost–risk optimization.

Statistical AI-as-a-Service (SAIaaS): Cloud platforms will offer probabilistic inference engines as managed services.

Democratized Causal Modeling: Causal and counterfactual reasoning will become standard in business analytics tools.

Hybrid Governance Models: Enterprises will adopt statistical validation layers to ensure AI reliability and calibration at scale.

8. Conclusion

The evolution of AI is entering a decisive phase — one that demands a return to mathematical intelligence.

Statistical AI is the unifying paradigm that bridges human reasoning with machine learning, enabling systems that can infer, quantify, and adapt. It is not the complement to AI — it is the very heart of its ecosystem.

From smart factories and autonomous systems to personalized healthcare and financial analytics, every domain that depends on prediction and decision will rely on Statistical AI as its cognitive core.

The future of AI is not just artificial — it is statistical.

About the Author:

Mr. Abhaya Kant Srivastava

Global Head – Statistical AI COE
Tata Consultancy Services (TCS)

Mr. Abhaya Kant Srivastava is a seasoned Risk Analytics senior leader in banking and financial sector with over 19 years of experience.

Mr. Abhaya Kant Srivastava is currently Global Head – Statistical AI with TCS where he leads the strategic initiative to acquire new projects in the area of Statistical, predictive and traditional AI, advise clients to deploy AI and ML solutions, develop assets and tools and support the engineering team.

Mr. Abhaya Kant Srivastava, is spearheading the Statistical and Predictive AI practice within the newly established Central AI Centre of Excellence (CoE), driving strategic AI initiatives across business groups and industry verticals. Collaborating with cross-functional AI leadership to deliver cutting-edge solutions, advisory services, and
capability development aimed at accelerating the growth and impact of TCS’s AI practice.

Mr. Abhaya Kant Srivastava, prior to Tata Consultancy Services (TCS), headed a big size team for India Risk Analytics and Data Services Practice at Northern Trust Corporation.

Before Northern Trust Corporation, Mr. Abhaya Kant Srivastava worked at KPMG Global Services, Genpact, EXL and startups like Essex Lake Group and Cognilytics Consulting to lead risk and analytics.

Mr. Abhaya Kant Srivastava is the Founder of “Risk Analytics Offshore Practice” for Northern Trust & Cognilytics.

Mr. Abhaya Kant Srivastava is an Expert in Building Analytics ODC.

Mr. Abhaya Kant Srivastava is a B.Sc. (Honours) in Statistics – Gold Medallist from Institute of Science – Banaras Hindu University, M.Sc. in Statistics from Indian Institute of Technology, Kanpur and currently doing executive Ph.D. in Statistics/Machine Learning from Indian Institute of Management, Lucknow.

Mr. Abhaya Kant Srivastava, also has a certification in “Artificial Intelligence for Senior Leaders ” from Indian Institute of Management, Bangalore.

Mr. Abhaya Kant Srivastava is Accorded with the following Honors & Awards :

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

Mr. Abhaya Kant Srivastava is Bestowed with the following Licences & Certifications :

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

Mr. Abhaya Kant Srivastava has Led the following Projects :

https://www.linkedin.com/in/abhayaiitk/details/projects/

Mr. Abhaya Kant Srivastava can be contacted :

E-mail | LinkedIn

Also read Mr. Abhaya Kant Srivastava‘s earlier article:

The post Statistical AI appeared first on Industry4o.com.

In today’s business world, digital transformation is no longer optional – it’s survival. Manufacturers, in particular, are under immense pressure to modernize. From supply chain disruptions to increasing customer demands for customization, speed, and quality, the factory floor has become the frontline of competitiveness.

And yet, despite the billions invested in digital initiatives, studies consistently reveal that around 70% of digital transformation projects fail to achieve their intended outcomes. That’s an alarming figure, but also an important wake-up call: technology alone cannot deliver transformation.

So, why do so many efforts fall flat? And more importantly, how can manufacturers increase their chances of success? One powerful — and often overlooked — answer lies in adopting a Smart Manufacturing Execution System (MES).

Why Digital Transformation Efforts Stumble?

Before exploring how Smart MES can help, let’s unpack the core reasons why so many projects derail.

1. Technology Without Strategy

It’s tempting to treat transformation like a shopping spree — invest in the latest IoT sensors, AI dashboards, or cloud platforms and expect magic to happen. But without a clear business-driven strategy, technology becomes an isolated expense. Companies end up with fragmented tools that look impressive but don’t connect to measurable outcomes like productivity, efficiency, or agility.

2. Data Silos and Lack of Integration

Most factories already have a mix of ERP systems, PLCs, quality databases, and maintenance tools. The problem? They rarely talk to each other. Data remains siloed, insights are delayed, and decisions are made on outdated or incomplete information. Transformation fails when leaders can’t see the “big picture,” and operators lack access to real-time, actionable data.

3. Resistance to Change on the Shop Floor

Change is never easy, especially for frontline teams. If new systems are too complex, disrupt workflows, or feel imposed from the top, operators push back. Without adoption at the ground level, even the most advanced digital initiatives are destined to fail.

4. Short-Term ROI Obsession

Executives often expect digital transformation to deliver immediate cost savings. While quick wins are possible, the real benefits — agility, scalability, customer satisfaction — take time to mature. Projects that can’t demonstrate both near-term and long-term value often get abandoned halfway.

5. Lack of Incremental Wins

Many organizations aim for a “big bang” rollout, trying to transform everything at once. This creates risk, complexity, and fatigue. When things don’t go smoothly, momentum is lost, budgets are cut, and failure becomes inevitable.

Enter Smart MES: The Missing Link

A Manufacturing Execution System (MES) is not new. Traditionally, MES solutions have been used to monitor production, track orders, and collect data. But the new generation of Smart MES is different — it’s the connective tissue that brings digital transformation to life on the shop floor.

Think of it as the nervous system of a smart factory: constantly sensing, analyzing, and responding to what’s happening in real time, while staying aligned with enterprise goals.

Here’s how Smart MES addresses the pitfalls that doom most transformation efforts:

How Bevywise Solutions Helps Manufacturers Win Their Transformation?

While the concept of Smart MES is powerful, its success depends on having the right partner. This is where Bevywise makes a critical difference.

Bevywise doesn’t just provide another MES — it provides a Smart, flexible, and scalable platform designed specifically to help manufacturers overcome the common roadblocks that derail digital transformation.

Here’s how Bevywise enables success:

1. Seamless Integration with Your Existing Systems

Bevywise Smart MES connects effortlessly with ERP systems, PLCs, IoT devices, and quality management tools. Instead of ripping and replacing, it adapts to your current ecosystem. The result is a single source of truth across your plant without disruption.

2. Real-Time Insights for Action, Not Just Reporting

Our MES doesn’t just collect data — it makes it actionable in real time. Supervisors and operators see live production KPIs, downtime alerts, and quality deviations, enabling proactive decision-making that minimizes waste and maximizes uptime.

3. User-Centric and Easy to Adopt

With intuitive dashboards, mobile-friendly interfaces, and role-based access, Bevywise ensures that operators actually use the system, not resist it. By simplifying workflows and reducing manual logging, adoption becomes natural and sustainable.

4. Modular and Scalable Transformation

Digital transformation doesn’t need to be overwhelming. Bevywise MES is designed for phased rollouts — start with a pilot line, prove value, then expand across plants and geographies. This builds confidence and ensures transformation is both low-risk and high-impact.

5. Alignment with Business Outcomes

At Bevywise, we don’t just focus on digitization. We focus on measurable business results: higher OEE, reduced scrap, faster compliance reporting, and improved traceability. Every deployment is designed to tie back to your strategic goals.

Real-World Impact with Bevywise

One global manufacturer of precision-engineered components adopted Bevywise Smart MES to manage and monitor its entire production line. With full visibility into operations, they reduced manual interventions, streamlined workflows, and improved consistency across shifts.

This example demonstrates how Bevywise MES helps manufacturers move beyond fragmented data and reactive processes, into a world of real-time insights, efficiency, and control.

And they’re not alone. Across industries, manufacturers are using Bevywise Smart MES to:

These results highlight a larger truth: with the right MES partner, digital transformation doesn’t just remain a boardroom ambition — it becomes a measurable, shop-floor reality.

The Bigger Picture: Transformation that Lasts

Here’s the truth: digital transformation is not about chasing buzzwords like IoT, AI, or digital twins. It’s about creating sustainable competitive advantage by making factories smarter, faster, and more resilient.

With Bevywise Smart MES, manufacturers don’t just digitize — they transform in a way that is:

Practical

Scalable

Sustainable

It ensures transformation doesn’t remain in strategy slides or executive dashboards but becomes real on the factory floor.

Closing the Execution Gap

If 70% of digital transformation projects fail, then the question isn’t whether you should transform — it’s how to do it successfully.

The answer for manufacturers is clear: put Bevywise Smart MES at the heart of your digital journey. It bridges the gap between vision and execution, empowering your teams, aligning processes, and delivering results that matter.

Digital transformation doesn’t fail because of ambition. It fails because of execution gaps. Bevywise is the partner that helps close those gaps.

Are you ready to be in the successful 30%?

Contact us today to learn how Bevywise Smart MES can power your factory’s transformation.

About the Author :

Mr. Ranjith Kumar Diraviyam 
Founder & CEO
Bevywise Networks INC.

Ranjith Kumar Diraviyam is the Founder & CEO of Bevywise Networks, an IoT and Industry 4.0 solutions company that enables manufacturers and enterprises to drive digital transformation. With over two decades of experience in product development and technology leadership, Ranjith brings a unique blend of technical expertise and business vision.

Before founding Bevywise in 2016, Ranjith was spent 14 years at Zoho Corporation, where Ranjith was part of the core team that built Zoho Writer and later led multiple large-scale product initiatives, including a graph database-based authorization system. Ranjith’s deep background in building scalable frameworks and enterprise tools laid the foundation for Bevywise’s product suite.

At Bevywise, Ranjith has bootstrapped the company into a global player, delivering MQTT frameworks, IoT simulators, MES solutions, energy management systems, and smart factory platforms. The company today serves more than 100 customers worldwide, including Johnson & Johnson, Celiker Holding, IITs, and large manufacturing enterprises.

Ranjith is also passionate about education and mentorship, running an academy in Tirunelveli to train and recruit students in IoT and Industry 4.0 technologies. Ranjith‘s vision is to build solutions that connect devices, people, and processes—making data-driven decision-making accessible to businesses of all sizes.

Mr. Ranjith Kumar Diraviyam can be contacted at:

LinkedIn | Email |Mobile : +9198407 87678

About Bevywise Networks Inc.,

Transforming Industries with IoT, AI, and Smart Solutions

At Bevywise Networks, we lead the charge in digital transformation, offering advanced MQTT-based IoT platforms, smart factory solutions, AI-driven manufacturing enhancements, and innovative educational tools. Our mission is to empower businesses and educational institutions to thrive in the connected era by providing tailored solutions that drive operational efficiency and academic excellence.

Our Expertise: MQTT-based IoT Platform: Enabling seamless, real-time communication across devices with scalable IoT connectivity, enhancing data exchange and system integration. Smart Factory Solutions: Revolutionizing manufacturing with intelligent solutions that optimize production, Traceability, Quality, Data Management, and operational performance.

AI Implementation for Manufacturing: Leveraging artificial intelligence to refine manufacturing processes, improve quality control, and provide plan annalysis and effective planning, driving smarter, more efficient operations.

Educational Tools: Developing state-of-the-art tools for colleges and institutions to enrich learning, streamline administration, and enhance educational outcomes.

Flexible Solutions: We offer both SaaS (Software-as-a-Service) and on-premise models to meet the unique needs of our clients, providing flexibility in deployment and management. Why Choose Bevywise Networks?

Expert Team: Our professionals bring extensive experience in IoT, AI, smart manufacturing, and educational technologies, delivering proven results across various industries.

Customized Approach: We craft bespoke solutions that align with your specific business or educational goals, ensuring optimal performance and impact. Commitment to Excellence: We uphold the highest standards of quality and integrity, continuously innovating to stay at the forefront of technological advancements. We are Open for Collaboration to enhance the world into much productive place.

Bevywise Networks Inc., can be contacted at:

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