“AI will be the best or worst thing ever for humanity” – Elon Musk, Techpreneur

The above-mentioned quotable quote pretty much sums up the state of affairs that we are in. AI adoption has intensified in all walks of life.  2023 will perhaps go down as the year of ChatGPT. Generative AI (Gen_AI) models led by ChatGPT and including Microsoft Co-pilot, Google Gemini, Llama, Whisper, and Claude, using Large Language Models (LLM), not only became pervasive but also impacted all sectors and endeavors of humankind. Over the last couple of years, we also realized that with growing AI adoption, stronger governance is vital to balance innovation with safeguards on accuracy, accountability, autonomy, bias, ethics, fairness, integrity, morality, privacy, safety, transparency, trust, and sustainability

Various challenges and misuse of AI that we encountered included bias, deep fakes, election interference using AI, copyright infringements, job losses, carbon emissions, misinformation, cyber-attacks, monopolistic practices, and low-quality content.  Biases could be algorithmic, gender, language, and political in nature. AI regulatory frameworks have come to the fore with all governments engaging in said efforts.  Governance of AI technologies has become essential for governments across the world. Over the last decade, 40+ countries have enacted 200+ AI and related legislations while over 90 countries have developed AI governance frameworks, which will eventually translate to legislation. This is a far cry from just one AI legislation in 2016.  These governmental efforts are complemented by supranational agencies such as the International Telecommunication Union (ITU) agency of the United Nations (UN) & Organization for Economic Cooperation & Development (OECD). High-technology giants such as Google, OpenAI, Microsoft, Nvidia, Amazon, Meta, and Apple are also shaping the discourse in terms of AI technologies and its impact.

As we stand today, AI governance, regulation, and policy are, at best, a work-in-progress worldwide.  Due to the rapid pace of evolution of the technology, a well-defined, comprehensive, and end-to-end AI policy framework remains a challenge. The wish list is that this AI governance framework should offer clarity and direction to all stakeholders, while remaining adaptable to the rapid evolution of technology. This investigation explores the various intergovernmental and supranational initiatives like GPAI, AI for Good, UNESCO AI, AI Impact summit, AI safety summit, and Bletchley declaration towards AI governance and regulation.

Global Partnership on Artificial Intelligence (GPAI)

Global Partnership on Artificial Intelligence (GPAI) was launched in June 2020 by OECD subsuming earlier discussions on the topic by various nations as early as 2017. India was a founder member of this partnership along with EU and US.  This is a global coordination platform that brings together governments, academia, industry, and civil society to ensure AI is developed in a way that is human-centric, ethical, and trustworthy. Various working groups have been formed centered along various themes such as Responsible AI, Data Governance, Future of Work, and Innovation & Commercialization. These efforts have been complemented by UNESCO as well as G20 & G7, who have factored the GPAI inputs and deliberated on AI in their respective summits and working group discussions.  The focus is on ethics, policy, and responsible AI and not legislation and there are multiple layers of meetings all year around in addition to a global GPAI summit. These policy recommendations are generally non-binding and feed into major summit agendas including recently-held AI impact summit in India.

AI for Good

AI for Good is a similar initiative of International Telecommunication Union (ITU) in partnership with 40 UN sister agencies towards AI for society. This global- platform aims to identify practical applications of AI to advance the UN SDG and scale these solutions for global impact. These include AI applications in healthcare, education, disaster management, climate change and smart cities. An AI for Good global summit is conducted annually to add to the narrative to:

• Apply AI to real-world global problems
• Accelerate progress toward SDGs
• Promote ethical and inclusive AI
• Foster global collaboration

UNESCO AI framework

The UNESCO AI framework is another important global effort to guide ethical and human-centric AI development. From 2018, this has been in the works as an extension to UNESCO’s mandate to advance ethics of science and digital transformation. Adopted in November 2021 by 190+ countries, this framework sets standards for how AI should be designed, developed, and used responsibly. This is the first truly global AI ethics agreement focusing on the following areas:

• AI Governance & Regulation
• Data Governance
• Education & Skills
• Gender Equality
• Environmental Impact
• Ethical Impact Assessment

This serves as a reference and ethical guideline for national AI laws and policies and is complementary to GPAI and AI for Good, which focus on policy collaboration and application areas respectively. However, all of them are non-binding and part of a shared universe with multi-stakeholders such as government, UN agencies, Tech giants, civil society, and academia.  Simultaneously, various countries are also working on their own sets of AI governance frameworks and policy. Some of them like US have been following a market-driven Ai regulatory approach. On expected lines, China has a state-driven approach whereas the EU follows a rights-driven approach.

AI safety summit

The AI safety summit hosted by the United Kingdom for the first time in 2023 was a landmark event with respect to regulation of AI. The main objective of the summit was to address the risks and safe development of advanced AI systems, especially frontier models like generative AI in the larger context of AI governance. The policy recommendation and deliberations of complementary initiatives such as GPAI, AI for Good and UNESCO AI were feeders to this major global summit. At this summit, most advanced nations such as US, UK, China, India, and the EU more or less agreed towards a road map, which is defined in Bletchley Declaration, a global agreement by national governments towards regulation and human oversight of AI. Signed by 28 nations, this Bletchley Declaration affirms that AI should be designed, developed, deployed, and used in a manner that is safe, human-centric, trustworthy and responsible. A subsequent AI safety summit in Seoul in May 2024 and AI action summit in Paris in February 2025 reaffirmed these concerns. The Seoul summit advocated the establishment of multi-stakeholder safety institutes and testing frameworks to address concerns with respect to AI governance. The Paris summit saw 100 countries participate and sign the declaration on promotion of inclusive and sustainable AI. This summit focused on global coordination, policy alignment, inclusive governance, and balancing innovation with regulation.

Some of the guiding commitments of the Bletchley declaration are as follows:

• Shared understanding of AI risks including General-purpose AImodels also called Frontier of AI especially in areas such as biotechnology, cyber security applications and misinformation.
• International cooperation on AI safety research, standards and policies
• Risk mitigation and safety frameworks
• Scientific and evidence-based policies across countries to ensure safety while recognizing that approaches may differ based on national circumstances and applicable legal frameworks.

AI Impact Summit 2026

The AI Impact Summit refers to a set of international forums focused on the real-world impact of AI, especially its economic, societal, and developmental consequences.  How AI affects economies, jobs, governance, and society, and how to maximize benefits while minimizing risks……

 The first AI Impact Summit 2026 hosted by India, marked a significant milestone in global AI dialogue, especially as one of the first large-scale AI summits held in the global south. This summit saw participation from 100+ countries and 20+ international organizations as well as the major tech giants in the AI space. This included foundation model companies (OpenAI, Anthropic, DeepMind), big tech platforms (Google, Microsoft, Amazon, Meta), infrastructure leaders (NVIDIA) and emerging ecosystem players (Indian startups working on sovereign AI and home-grown LLMs).  At the AI Impact Summit 2026, the “7 Chakras framework” was used as a conceptual model to organize discussions and actionable policy directions around AI. These chakras represent key pillars of AI development and impact as follows:

• Human capital
• Inclusion
• Innovation
• Governance
• Safety & Trust
• Economic development
• Sustainability

While realizing that AI is a growth engine for economic transformation, this framework and summit provided a structured roadmap for countries to develop AI ecosystems while balancing innovation, inclusion, and safety. Other outcomes included a strong push for inclusive AI with enhanced access for developing nations in the global south, focus on digital infrastructure for public good, enhanced global and multistakeholder collaboration and workforce transformation.

India’s Approach in AI Governance

India is no doubt emerging as a global leader in AI governance and regulation. India’s approach has been pragmatic and non-aggressive as also veering towards combining innovation, inclusion, and ethical oversight without the risk of overregulation. It is a middle path akin to our non-alignment approach in geopolitics. Distinctly stakeholder-centric as opposed to state-focused approach of China or strict rights approach like Europe or market-focused like USA.  India has been an active participant of various intergovernmental and supranational forums engaged in AI regulation and governance from their inception. India chaired the GPAI in 2024 and hosted the 2023 edition of the GPAI summit at New Delhi.

The successful conduct of the AI Impact Summit 2026 reaffirms India arriving at the high table of AI governance and regulation. Of course, there remains a lot to be done. An overarching, binding and comprehensive AI act under the ambit of the Digital India act is needed which subsumes multiple laws such as Digital Personal Data Protection Act, 2023; IT Rules, 2021 (platform accountability), sectoral frameworks, and AI governance guidelines.

About the Author:

Dr. Prashant R.Nair 
Associate Director – Internal Quality Assurance Cell (IQAC)
President – Institution’s Innovation Council (IIC)
Professor – School of Engineering,
Amrita Vishwa Vidyapeetham (Deemed-to-be-University)

Dr. Prashant R. Nair, Associate Director, Internal Quality Assurance Cell (IQAC) & Professor of Computer Science & Engineering (CSE), Amrita Vishwa Vidyapeetham, Coimbatore, has twenty-six years of academic and administrative experience. Dr. Prashant R. Nair has taught in academic programs in the USA and Europe at University of California, San Diego; Sofia University, Bulgaria and University of Trento, Italy as an Erasmus fellow. Dr. Prashant R. Nair has written 6 books, 2 edited books, 1 book chapter and 75 publications in reputed journals, books and conferences.

Dr. Prashant R. Nair is active as a science writer & columnist. A very sought after speaker, by conservative estimates has addressed 150,000 students and trained 15,000+ faculty on technology, innovation, professional bodies and quality aspects of higher education in India, USA, Thailand, Russia, Italy, Bulgaria, Hong Kong, Singapore, Nepal, Bhutan etc. Awards & recognitions won include PK Das Best Faculty award in computer science & engineering, Padmavibhushan Dr. Murali Manohar Joshi Teacher award, multiple CSI best faculty and academic excellence awards, IEEE Education Society global chapter achievement award, IEEE Presidential coin, IETE & IE fellowships, Fulbright program reviewer, etc.

Dr. Prashant R. Nair is Bestowed with the following Licenses & Certifications

https://www.linkedin.com/in/prashant-r-nair-7739611/details/certifications/

Dr. Prashant R. Nair can be contacted Contact Details :

E-mail | E-mail (2) | LinkedIn | FaceBook | Webpage | Blog (1) | Blog (2) | Google Scholar | Silicon India | YouTube | Mobile: +91-9943984483

Also read Dr. Prashant R. Nair‘s earlier article :

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Wealth Management (WM) represents a holistic and highly personalized framework to oversee and optimize the complex financial solutions of high-net-worth individuals and family offices. A diverse set of stakeholders with multiple roles, multi-layered activities, and a broad spectrum of services create multiple opportunities to leverage digital automation across advisory, operations, compliance, and reporting functions.

Globally, the wealth management industry is undergoing rapid digital transformation as firms compete to manage expanding pools of assets. For example, a single advisory platform such as Ameriprise Financial reported more than $1.7 trillion in client assets under management, administration, and advisement in 2026, reflecting the scale and competitive intensity of modern wealth ecosystems.

This scale sets the ecosystem for a level playing field for modern digital technologies and disruption enhancing the capabilities of wealth management firms.

Through this article we explore workflow solutions, patterns, and trends shaping wealth management’s aggregated landscape. We touch upon functions where technology enriches customer visualization experience such as AR/VR, key back-office and middle-office roles linked to AI-orchestrated autonomous workflow of NAV calculation, and uplifted reporting.

The immense contribution and multi-fold influence of Agentic AI and GenAI pairing is emphasized. Agentic AI transforms passive tools into proactive, autonomous financial agents, elevating their capabilities beyond traditional algorithmic management. Generative AI (GenAI) creates new content such as text, images, code, audio, or video by learning patterns from existing data.

According to McKinsey, generative AI alone could unlock between $200 billion and $340 billion in annual value across the global banking sector, primarily through productivity improvements and workflow automation—highlighting its transformative relevance for wealth operations and advisory functions.

Collaboratively, Agentic AI and GenAI ensure seamless, effective, and efficient AI adaptation across wealth ecosystems.

Technology Transformation Across Core Wealth Functions

Adopting path-breaking technology is becoming a game changer for key WM functions such as:

Digital investment advisory platforms are already reshaping portfolio construction at scale. Global robo-advisor assets under management are projected to reach approximately $2.06 trillion in 2025 and grow to $2.38 trillion by 2029, demonstrating rapid adoption of automated portfolio intelligence across investor segments.

In parallel, the global robo-advisory platform market itself is expected to expand from $6.61 billion in 2023 to over $41.83 billion by 2030, reflecting strong enterprise investment in automated advisory infrastructure.

AR and VR Customer Experience Transformation

Customers are operating in a digital age of “Netflix-level expectations.” Digital technologies empower wealth investors by offering real-time insights, personalized experiences, and seamless accessibility. These tools enhance portfolio visibility while strengthening transparency and collaboration with advisors.

Hyper-Personalization

AI analyses user behaviour to customize AR/VR content in real time. A VR-enabled portfolio visualization environment can allow investors to explore asset allocation risk exposures interactively.

Collaborative Advisor Sessions

Shared VR war-rooms enable advisors and clients to jointly restructure portfolios using 3D analytics.

Conversational Analytics

AI explains complex holdings using simplified analogies, helping investors interpret asset correlations faster.

Contextual Benchmarking

Risk heatmaps displayed in immersive environments help investors understand volatility intuitively.

Future Evolution

Biometric integration may allow VR interfaces to dynamically adjust portfolio visualization during stress conditions such as market volatility.

This shift toward immersive advisory environments aligns with a broader industry trend toward hyper-personalized engagement, where McKinsey estimates nearly 75% of generative AI value creation across industries is concentrated in customer engagement and knowledge-synthesis use cases.

Non-Touch NAV Valuation Transformation

There is a paradigm shift toward NTN No-Touch NAV operations.

Non-Touch NAV refers to a fully automated end-to-end process for calculating, validating, and reporting fund NAV without manual intervention. It leverages:

To ingest market feeds, reconcile discrepancies instantly, and detect anomalies proactively.

Agentic AI orchestrates synchronization of:

Deep learning compares NAV against historical trends and peer funds.

Financial institutions are rapidly moving toward automation-led operations. Surveys indicate that nearly 65% of financial services organizations are already actively deploying AI solutions across workflows, with most reporting measurable improvements in revenue growth and cost optimization.

Agentic AI and GenAI provide meaningful results to largely unstructured and non-indexed data often stored across fragmented enterprise systems. In multi-agent architectures, specialized agents perform subtasks and coordinate execution through orchestration layers.

Straight-Through Processing becomes achievable through integration of:

Robo-Advisory and Autonomous Portfolio Intelligence

Agentic AI strengthens robo-advisory platforms through real-time decision intelligence.

The global robo-advisor user base is expected to reach more than 34 million users by 2029, demonstrating rapid adoption of AI-assisted investment decision platforms among both retail and affluent investors.

Hybrid advisory models combining human expertise with AI-driven analytics already account for nearly 64% of global robo-advisory platform revenues, reinforcing the importance of augmented advisory workflows.

Agentic AI Supporting Intelligent Wealth Operations

Agentic AI enables orchestration across:

Industry surveys indicate that approximately 42% of financial institutions are already exploring or deploying AI agents in operational workflows, signaling early movement toward agentic enterprise architectures in financial services.

These developments mark a transition from workflow automation toward autonomous workflow coordination.

The Next Frontier of Intelligent Wealth Management

Peering beyond the horizon, the future appears profoundly transformative. The diverse spectrum of wealth management clients mirrors the intricate systems underpinning services, market dynamics driving sovereign capital flows, and digital technologies shaping innovation.

Meeting rising expectations and orchestrating this complex ecosystem will require Agentic AI.

Enterprise adoption of generative AI is accelerating across financial institutions, with surveys showing over 40% of organizations actively experimenting with GenAI initiatives primarily to enhance customer experience and reduce operational costs—two central pillars of wealth-management transformation.

This evolution should resemble disciplined growth—progressing deliberately through stages of maturity, fuelled by learning and structured capability building.

Until one day, it stands fully evolved as a guiding beacon charting a secure course for technological advancement within defined governance boundaries rather than drifting into unstructured experimentation.

About the Authors :

Mr. Sudeep Mukherjee 
Senior Industry Consultant – Financial Market,
IBM

Mr. Sudeep Mukherjee is a senior consulting professional working in a renowned technology MNC. Mr. Sudeep Mukherjee  has collaborated with global financial services sector firms worldwide. Mukherjee  holds Financial Risk Manager (FRM) certification from Global Association of Risk Professional (GARP) and has Master’s degree in business management with specialisation in finance, complimented by Bachelor’s degree in computer science.

Mr. Sudeep Mukherjee has rich experience in digital transformation and  strong client relationship leading to enhanced customer experience and value creation.

Mr. Sudeep Mukherjee has front-to-back project implementation experience in Investment & Private Banking, Wealth Management, Fixed Income (Interest Rate Derivatives) and OTC Derivatives, Regulatory and Trade Reporting Services, Credit & Liquidity risk, Data harmonization and Data Migration.

Mr. Sudeep Mukherjee is an evangelist for agile method and devops, thereby bringing changes to projects via continuous improvement and collaboration.

Mr. Sudeep Mukherjee can be contacted at:

E-mail |  LinkedIn

Also Read Mr. Sudeep Mukherjee‘s earlier article:

Mr. Raja Basu

Client Delivery & GTM – Financial Services, IBM

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Mr. Raja Basu can be contacted at :

E-mail | LinkedIn

Also read Mr. Raja Basu’s earlier article :

The post Fintech Innovation appeared first on Industry4o.com.

A Signature Global Perspective

In the blazing forge of the new age, where digital tempests reshape empires and human spirit contends with algorithmic might, a divine trinity rises unyielding: Servant Leadership, Emotional Intelligence and Empathy. Organizations that do not merely endure but dominate with luminous trustworthy purpose. This mantra has propelled global icons to stratospheric heights, birthing trillion-dollar legacies amid chaos. For leaders worldwide, from Silicon Valley to bustling metropolises, embracing this triad is not a choice at all but it’s a crystal-clear destiny…

The Radiant Dawn of Servant Leadership: Serving to Conquer Servant Leadership gleams as the first pillar, a glorious inversion where power flows upward from the leader’s knelt knee. Conceived by philosopher Robert Greenleaf in 1970, it decrees: true greatness lies in serving first. The leader becomes gardener, not overlord nurturing soil, pruning flaws, harvesting abundance. In boardrooms scarred by burnout and exodus, this approach reverses the tide.

Gaze upon Howard Schultz, Starbucks’ visionary steward, who ascended from Brooklyn poverty to helm a $100 billion empire. Rejecting executive excess, Schultz ensured 150,000 baristas gained health insurance and stock shares—even for part-timers. “We are in the people business serving coffee,” he proclaimed. Result? Unrivalled loyalty: employee turnover plummeted 50%, fuelling expansion to 38,000 stores across 80 nations. Data from Deloitte affirms: servant-led firms enjoy 20% higher retention and 15% greater innovation rates.

Echoing this, Satya Nadella seized Microsoft’s reins in 2014, dismantling a cutthroat “know-it-all” culture for a “learn-it-all” ethos. He read every employee email, hosted empathy workshops, and championed inclusivity thereby elevating market cap from $300 billion to $3.1 trillion by 2025. Nadella‘s memoir “Hit Refresh reveals his mantra: ” Lead from within, serve without.” Under him, Azure cloud services devoured rivals, while employee satisfaction soared 30%. In new-age arenas blossoming into full blown tech unicorns, agile consultancies which triggers this servant fire which thereby ignites self-sustaining growth, proving humility yields hegemony.

Emotional Intelligence: The Inner Forge of Unconquerable Might

No trinity endures without Emotional Intelligence (EI), the second pillar, an absolute mastery of the heart’s hidden realms. Daniel Goleman illuminated it in 1995: EI comprises self-awareness (knowing your storm), self-regulation (taming it), motivation (channelling fury into flight), empathy (reading others’ tempests), and social skills (orchestrating harmony). Amid AI’s rise, where machines crunch data but miss the human pulse, EI distinguishes distinct remarkable victors with elan.

Indra Nooyi, PepsiCo‘s trailblazing CEO from 2006-2018, wielded EI like Excalibur. Facing obesity crises and waning abysmal sales, she penned heartfelt letters to 400 top executives’ parents, thanking them for raising such leaders. This gesture bridged generations, fostering trust. Nooyi divested sugary icons, pivoting to healthier fare—revenue climbed 80% to $63 billion, stock doubled. “Performance with purpose,” she decreed, blending profit with the planet. Gallup studies corroborate: high-EI leaders boosted the team output by 20%, cut attrition by 30%.

Across oceans, Jacinda Ardern-New Zealand’s ex-Prime Minister—mirrors this in public realms, inspiring CEOs. Her 2020 COVID response, marked by tearful Candor and decisive calm, achieved near-zero deaths and 90% approval. Corporate apostles like Salesforce’s Marc Benioff adopted her playbook, embedding EI in annual empathy training, yielding 25% productivity gains. For global audiences right from Tokyo traders to Nairobi innovators EI is the lucid lens piercing volatility, forging resilient legions where others fracture.

Empathy: The Golden Thread Weaving Eternal Bonds

Empathy crowns the triad, not as soft pity but as piercing insight into another’s voyage. It demands stepping into shoes worn by celestial joy, grief, ambition. In fragmented workforces as diverse as remote nomads, multicultural mosaics thus empathy leading the way in creating unity from diversity.

Tim Cook, Apple‘s sentinel since 2011, embodies this amid scrutiny. Post-Jobs, he championed LGBTQ+ rights, privacy fortresses, and supplier audits exposing labour shadows synchronising and empathizing with users’ fears and workers’ plights. Apple’s empire swelled to $3 trillion making iPhone loyalty unassailable. A 2024 Harvard study links such empathy to 21% profit premiums. From Shanghai factories to Silicon startups, empathy dissolves divide, but augments innovations like hybrid work models that retained 94% of talent post-pandemic

The Synergistic Surge: Trinity in Glorious Union

Siloed, each pillar shines; united, they blaze supernova. Servant Leadership scaffolds selfless ascent; EI fuels perceptive propulsion; Empathy cements indissoluble ties. Global icons converge here: Nadella‘s Microsoft integrates Schultz‘s service with Nooyi‘s nuance, while Polman’s purpose amplifies Cook‘s compassion.

Google‘s Sundar Pichai, blending all three to navigate AI ethics, sustaining a $2 trillion valuation. Bain & Company quantifies: trinity adopters outpace peers by 2.5x in growth, with 40% innovation edges.

Critics decry “soft skills” as perilously vague but harbouring on the audacious, yet evidence thunders otherwise. Deloitte‘s 2025 survey of 10,000 firms reveals trinity champions thriving amid recessions-employee Net Promoter Scores at 70+, versus laggards’ 20.

Forging Your Legacy: A Call to Cosmic Action

New-age warriors, from aspiring entrepreneurs in Mumbai to C-suites in Manhattan, your clarion summons: wield this mantra. Audit your reign and decipher whether you serve or subjugate? Hone EI through daily reflections, empathy via active listening. Train cohorts: Google‘s “Search Inside Yourself” melds mindfulness with metrics, replicable anywhere across the globe

Rise, stewards of tomorrow! Let this triumvirate be your eternal flame and a beacon of light too. Forge organizations not of stone, but of soaring spirits. Success awaits all not as conquest, but coronation.

About the Author :

Mr. Abraham Paul Vatakencherry is a Global influencer, Mentor and Strategist.

Mr. Abraham Paul Vatakencherry has a proven track record of driving results across all verticals.

Mr. Abraham Paul Vatakencherry expertise in negotiation, business planning, operations management, sales, and market research has enabled him to create innovative solutions that drive growth and profitability.

Throughout his career, Mr. Abraham Paul Vatakencherry has demonstrated the ability to build and maintain strong relationships with clients, partners, and colleagues, leveraging his exceptional communication and interpersonal skills to create mutually beneficial partnerships. With a deep understanding of global business trends and a passion for innovation, he has committed to staying ahead of the curve and developing strategies that drive results.

Mr. Abraham Paul Vatakencherry thrive in fast-paced, dynamic environments and has always looked for new challenges to tackle. Whether he is working on a complex project or collaborating with a team to achieve a common goal, he approach every opportunity with energy, creativity, and a relentless commitment to excellence.

Mr. Abraham Paul Vatakencherry concentrate on global strategic alliances and have demonstrated history of working with a wide range of domains, from aerospace to healthcare. With more than two decades of direct experience, he has served in management & on boards for a range of global companies and has advised multiple chambers of commerce and industries in India.

Mr. Abraham Paul Vatakencherry has published numerous articles, most notably, the Inaugural Special Monaco & Dubai Edition of “The Billionaire Chronicle” respectively.

Mr. Abraham Paul Vatakencherry can be contacted at:

Mobile : +91 95979 36457 e-mail | LinkedIn | FaceBook

Also read Mr. Abraham Paul Vatakencherry’s earlier articles:

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Key Takeaway: Reinvention isn’t some Silicon Valley luxury. It’s survival. Any organization that wants to keep up in a world where data, tech, and priorities change overnight needs to get good at this (and fast).

Introduction: The Power of the Pivot

Picture this: a scrappy team in San Francisco, founders of a startup called Odeo, suddenly find their business model flattened by Apple’s iTunes. Most people would’ve called it a day. But not these folks. They tossed out their old idea and doubled down on something wild: an app for sharing what you’re doing in just 140 characters. That gamble gave us Twitter, and changed how the world connects.

Across the city, another crew had their own mess. Their app, Burbn, did everything from check-ins, to games, to social stuff, to photos. But users only cared about posting pictures with cool filters. So, Kevin Systrom and Mike Krieger made a tough call. They stripped Burbn down to just photo sharing and turned it into something called “Instagram.” The result? A cultural juggernaut that changed how we capture the world.

While it is certain that a majority of people have never heard of Odeo or Burbn, Twitter (now “X”) and Instagram have become household terms. Strategic reinvention put them both on the map, and they’re here to stay. At least for now.

So, what does any of this have to do with lean data governance? Actually, more than you might think. Twitter and Instagram didn’t win at reinventing themselves strategically by piling on features or more rules. They won because they knew when to focus, when to simplify, and when to let go of anything that didn’t matter. That’s the heart of lean data governance: cut the clutter, stay focused, and build systems that serve the business. Not the other way around.

The Trap of Traditional Governance

Let’s be real. Most organizations start with good intentions for data governance. They want to keep data safe, follow the rules, and use data responsibly. But here’s the problem: old-school data governance frameworks were built for a slower world. When things speed up, those same frameworks turn into roadblocks.

All those committees, sign-offs, and endless paperwork? They add friction, not value. Teams get tangled up in bureaucracy instead of actually doing something meaningful with data. It’s like trying to sprint with weights around your ankles. Sure, you can move forward, but doing it that way is so much harder than it should be.

Lean data governance takes a page from the Twitter and Instagram playbook. Instead of tweaking the old system, it asks the question: “What if we started fresh?” Rather than being satisfied with only rebranding, it goes a step further and encompasses real transformation; that is, putting users first, making bold decisions, and knowing when to move on. That’s what sets effective data governance apart from the usual red tape.

There are five cornerstones upon which this “strategic reinvention” mindset is built: focus, strategic constraints, user-centric design, timing and execution, and building on strengths. Let’s break them down one at a time.

Focus: The Instagram Principle

Rather than merely trimming the fat, Instagram went all in on what mattered and ditched everything else. Systrom and Krieger weren’t aiming for a “simpler” app. They wanted something so clear in its purpose that it could really take off.

I’ve seen it over and over: when companies pick one thing to do really well, and ignore the urge to please everyone, they win. They figure out what makes them special and cut out the distractions.

Data governance has the same problem. Too many organizations try to cover every possible scenario, and end up with a mess of policies that slow everyone down. Lean data governance borrows that Instagram mindset: find what truly matters and get rid of the rest.

Strategic Constraints: The Twitter Lesson

Twitter’s 140-character limit (later 280) may seem like a tech quirk, but it was a deliberate choice. That boundary forced people to get creative and gave Twitter its unique style.

In data governance, strategic constraints work the same way. Instead of endless approvals and red tape, lean governance gives teams clear rules (such as data quality standards, who can access what, retention timelines, and so forth), then lets them get to work. These boundaries keep things on track without smothering innovation.

The goal isn’t just to make things run smoother. It’s about giving people room to innovate, but within clear boundaries.

User-Centric Design: Building for People, Not Just Policy
Look at Twitter and Instagram. They show how user-focused design can drive big changes. Twitter didn’t invent hashtags in a boardroom. Users started tagging their tweets, and the company just paid attention and made it official. Over on Instagram, filters went beyond simply making photos look nice. They turned regular folks into artists, making everyone feel like their photos were worth sharing.

Good data governance takes the same approach. Instead of treating people like compliance problems to manage, smart organizations see them as partners who add value. When you bring data users into the process, you build systems that actually help them work, not slow them down. Adoption rates go up, and suddenly, data governance goes from being a box to check off to becoming a competitive advantage.

Timing and Execution: The Decisive Edge

Timing really matters. Twitter made its move before Odeo tanked; Instagram shifted gears just as mobile photography took off. Both saw the turning point and jumped in before anyone else could own the space.

Data governance works the same way. The hard part isn’t knowing what needs to change, but rather, making it happen at the right moment. Too many organizations treat lean governance as just another tech project and forget the cultural shift that makes it stick. If you wait until your old systems totally fall apart, you’re in for a rough ride. The best results come when you start changing things while the old ways still sort of work; when the team is frustrated but not in full crisis mode yet.

Building on Strengths: Evolution, Not Revolution

One thing stands out: neither Twitter nor Instagram tossed out what already worked. Twitter’s real-time messaging became microblogging. Instagram’s photo filters built the backbone for social sharing. Instead of rebuilding from the ground up, they adapted what they already had.

That’s exactly how organizations should approach data governance. Don’t throw away the systems that deliver value. Figure out what’s working, cut the red tape, and evolve. Period. No need for a dramatic overhaul; just build on what you know works.

Conclusion: The Courage to Reinvent

Here’s the bottom line. If you want to reinvent your organization, you need vision and discipline to execute. Like Twitter and Instagram, you have to drop what’s not working, but hang on to what really drives the business. It takes courage to let go of comfortable routines and focus on what actually moves you forward. But if you get it right, lean data governance sets you apart. Decisions get faster, friction drops, and you gain a real edge in a world where data rules.

Summary Box:

Twitter and Instagram prove that transformation is both possible and necessary for anyone ready to focus, simplify, and take action. For lean data governance to be effective, forget about simply piling on more rules and calling it done. Stand up and make every process count.

“Bringing Data to Life and Life to Data”

About the Author:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Dr.Joe Perez can be contacted at :

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

Also read Dr.Joe Perez‘s earlier articles:

The post Lean Data Governance appeared first on Industry4o.com.

India today stands on the brink of a transformative shift in mobility. As global markets move rapidly toward cleaner and more sustainable transportation, India has positioned itself among the world’s fastest-growing electric vehicle (EV) destinations. Backed by strong policy initiatives, forward-looking OEMs, and rising consumer interest, the EV revolution is generating not just cleaner mobility—but a powerful wave of new-age career opportunities for the country’s youth.

Over the past year, the pace of EV adoption has been nothing short of remarkable. In just the first six months of FY 2025–26, India recorded 91,726 EV sales—already 86 percent of the previous year’s total of 1.1 lakh. The share of EVs in the passenger vehicle market has nearly doubled, rising from 2.6 percent in FY25 to almost 5 percent this year. Data from the Federation of Automobile Dealers Associations (FADA) shows a 108 percent year-on-year surge, underscoring a fundamental shift in how Indians view mobility. These numbers are not mere indicators of sales momentum; they reflect a deeper structural transition within the automotive landscape, one that demands new technology, new talent, and new ways of thinking.

Global projections reinforce this rise. The International Energy Agency (IEA) estimates that India could become the world’s second-largest EV market by 2030. The government’s own targets aim for 30 percent vehicle electrification by the end of this decade. Meanwhile, NITI Aayog values India’s potential EV market at nearly USD 300 billion by 2030. It is increasingly clear that the EV transition is no longer a futuristic idea—it is the country’s next major economic engine. Yet, as India accelerates into this electric future, a significant challenge has emerged: the widening skills gap.

For decades, India’s automotive workforce has been trained around internal combustion engine (ICE) technologies, leaving a sizable portion of existing skill sets irrelevant or inadequate for the demands of electric mobility. According to SIAM, India will require one to two lakh EV-ready professionals—including technicians, engineers, and R&D specialists—by 2030. Its EV Skill Gap Study reveals that 43 percent of ICE-related competencies have little relevance in the EV ecosystem, while another 27 percent require deep reskilling. This gap threatens to become a bottleneck unless addressed through large-scale, future-oriented skilling initiatives.

Skill development has therefore become a national priority. The EV industry is creating fresh opportunities across vehicle design, battery systems, manufacturing, diagnostics, servicing, charging infrastructure, and energy management. As vehicles become more software-driven and technologically sophisticated, the need for specialised knowledge in areas such as high-voltage safety, power electronics, battery chemistry, and thermal management has intensified. A skilled workforce is essential not only for ensuring vehicle reliability and customer satisfaction but also for enabling India to compete globally as an EV manufacturing and innovation hub.

Leading this transformation on the skilling front is the Automotive Skills Development Council (ASDC), the apex body for automotive skilling in India. ASDC has been actively designing and delivering future-ready EV job roles and training programmes that align with industry demands.

From battery pack engineers and powertrain designers to EV service technicians and assembly specialists, ASDC‘s curriculum reflects the evolving needs of the mobility ecosystem. These emerging job profiles offer young Indians strong career stability, competitive salaries, and clear pathways for upward mobility, making the EV sector one of the most attractive career avenues of the decade.

India’s electric mobility mission will succeed only when supported by a workforce capable of driving innovation, ensuring safety, and maintaining global competitiveness. The EV revolution is not just about cleaner vehicles—it is about preparing a new generation of professionals equipped with the skills and vision to lead the country into a  sustainable future. ASDC‘s role in empowering youth with industry-aligned EV skills has become central to this national journey.

As India accelerates its EV transition, the opportunity ahead is immense. With the right skilling ecosystem, the nation can meet its sustainability goals, strengthen its manufacturing capabilities, and emerge as a global powerhouse for electric mobility. For India’s youth, the message is clear: the future of mobility belongs to those who are ready to skill, adapt, and lead in this electrifying new era.

About the Author :

Mr. Vinkesh Gulati
Chairperson,
Automotive Skills Development Council ( ASDC )

About Automotive Skills Development Council ( ASDC )

Automotive Skills Development Council ( ASDC ) is the first sector skill council of India, promoted by the Automobile industry through Society of Indian Automobile Manufacturers (SIAM), Automotive Component Manufacturers Association (ACMA) and Federation of Automobile Dealers Association (FADA) and Government of India represented by Department of Heavy Industry and National Skill Development Corporation (NSDC) & Ministry of Skill Development and Entrepreneurship, Government of India.

Automotive Skills Development Council ( ASDC ) Vision :

To continually develop and upgrade Automotive Skills for Higher value additions ( higher value addition through Skilling will facilitate capital creation, leading to more economic activity and consequent additional jobs.)

Making Skills aspirational and integrated with academic pathways.

Honoring and celebrating the Skilling achievements.

Automotive Skills Development Council ( ASDC ) Key Achievements for the
Financial Year 2024 -25 :

✦ Starting with 1 CSR Project in 2020-21, ASDC delivered 12 CSR projects during FY 2024-25

✦ Associated with Bajaj Auto flagship project BEST and delivered 401 student assessments in FY 2024-25

✦ Delivered Hero Saksham project for 4000 women candidates for dealership roles with 50% placement

✦ Affiliated 5 training centers of Mahindra & Mahindra – Farm Division

✦ 28 Industry-based centers affiliated during FY 2024-25

✦ Signed two international agreements – with Volvo (Sweden) for international mobility & Steinbeis University (Germany) for 1+1 model of Masters Programme

✦ 14 new Higher Education partners added for skill-based course implementation

✦ Launched Skill Olympiad (with CBSE) and EV Hackathon (with BYD)

✦ Initiated 3-year Diploma program delivery at 2 industry partners (Sellowrap & Subros)

✦ Completed 2 lakh+ apprenticeship contracts during FY 2024-25

Automotive Skills Development Council ( ASDC ) Social Media Links :

LinkedIn | FaceBook | X | Website | YouTube | Instagram

The post India’s EV Boom appeared first on Industry4o.com.

Reflections and learnings from Two Decades of Industrial Transformation

After implementing automation solutions across three continents and founding technology ventures over 20+ years, I’ve learned a hard truth: universal automation solutions don’t exist. What works in labor-scarce Germany fails spectacularly in labor-abundant India.Today, as Indian industry rushes toward Industry 4.0, we risk adopting Western solutions to Western problems—ignoring our unique strengths and social realities.

The Western Automation Trap

Western automation emerged from the demographic crisis—aging populations and shrinking workforces. Germany’s Industry 4.0 addresses a projected 6 million worker shortage by 2030.Japan’s Society 5.0 tackles a society where adult diapers outsell baby diapers.

India’s reality is starkly different:

When you have abundant labor, adopting labor-replacement technologies creates social catastrophe, not competitive advantage.

The Technology Tsunami: Converging Disruptions

Current automation differs fundamentally from past industrial revolutions. AI, robotics, IoT, and machine learning now converge to eliminate entire job categories within months, not years:

The exponential improvement curve means decisions made today have vastly different implications than five years ago. What required PhD expertise now runs on smartphones. Million-dollar systems cost hundreds of thousands today, tens of thousands tomorrow.

The Unemployment Time Bomb: Quantifying the Crisis

Based on my analysis of Indian industrial sectors, automation adoption could displace:

Lessons from Global Automation Experiments

My implementation experience across emerging markets provides sobering precedents:

The Inequality Amplifier: Mathematics of Wealth Concentration

Automation requires massive capital only large corporations can afford:

This creates a “barbell economy”—wealthy technology owners at one end, massive unemployment at the other, shrinking middle class between. In India’s caste-conscious society,where occupation determines social status, this threatens fundamental social structures.

Geographic concentration compounds the problem:

The Democratic Governance Challenge

Mass unemployment plus extreme inequality overwhelms democratic institutions designed for gradual change. When private automation decisions determine employment for millions,democratic systems appear powerless to protect citizen interests.

Potential outcomes:

My Strategic Framework: Human-Centric Automation

Twenty years of implementation experience suggests a three-tier approach:

Prerequisites: Comprehensive retraining, social safety nets, economic alternatives

Sectoral Intelligence: Where to Apply Automation

High-Value Targets:

Human-Centric Enhancement:

Protection Zones:

The Innovation Paradox: Why Over-Automation Reduces Competitiveness

Excessive automation paradoxically undermines innovation capacity. Human creativity requires active engagement with real problems—precisely what automation eliminates.

India’s traditional strengths at risk:

Over-automated organizations become:

Policy Recommendations: Building India’s Automation Framework

Immediate Actions:

Employment Impact Assessment: Mandate studies for automation projects above ₹10crore

Graduated Tax Structure: Higher taxes for job-displacing automation, incentives for job-enhancing technology

Strategic Skills Investment: Focus on human-machine collaboration rather than replacement

Medium-term Initiatives:

Innovation Ecosystem Development: Fund research into “appropriate automation” forIndian conditions

Social Safety Net Expansion: Unemployment insurance, retraining programs,entrepreneurship support

Regional Development Balance: Ensure automation benefits don’t concentrate on existing tech hubs

Long-term Vision:

Technological Sovereignty: Develop indigenous automation capabilities serving Indian social and economic objectives

Export Leadership: Position India as developer of inclusive automation technologies for emerging markets

The Competitive Advantage of Measured Adoption

Contrary to conventional wisdom, India’s human-centric approach could create sustainable competitive advantages:

Flexibility Benefits:

Market Differentiation:

Cost Realities:

Three Future Scenarios for India

Scenario 1: Aggressive Automation Adoption

Outcome High productivity, massive unemployment, social unrest, political instability

Risk: Short-term economic gains, enormous long-term social costs

Scenario 2: Technology Resistance

Outcome: Employment preservation, economic stagnation, eventual forced adjustment

Risk: Delayed rather than solved fundamental challenges

Scenario 3: Strategic Human-Centric Integration

Outcome: Balanced productivity growth with social stability

Requirements: Unprecedented policy coordination and social investmen

Benefit: Both economic competitiveness and social cohesion

The Entrepreneurial Opportunity: Leading Inclusive Innovation

My recent ventures focus on “appropriate automation”—technologies achieving 60-80% of full automation benefits at 30-40% of the cost while preserving employment. Early market response suggests significant export potential to other developing economies facing similar challenges.

India’s potential leadership areas:

Collaborative robotics for labor-abundant environments

AI-assisted human decision support systems

Flexible manufacturing technologies balancing efficiency with employment

Human-centric industrial design and implementation

Conclusion: Wisdom Over Speed

Industrial leadership isn’t about adopting technologies fastest—it’s about adopting them most intelligently. India has an unprecedented opportunity to demonstrate that technological progress and social development can be mutually reinforcing rather than competing objectives

The choice is clear:

● Follow others down a path that may not serve our interests

● Pioneer a uniquely Indian approach balancing technology with humanity

● Lead global development of inclusive industrialization models

● After two decades of implementing industrial transformation across diverse economies, I’m convinced the future belongs not to the most automated nations, but to those that most intelligently integrate human creativity with technological capability.

● India has all necessary ingredients—abundant human resources, growing technological capacity,democratic institutions, and entrepreneurial energy. The question isn’t whether we can afford this measured approach, but whether we can afford not to take it

● The stakes extend beyond our borders. Success demonstrates that inclusive industrialization is possible, providing a template for other developing economies. Failure means repeating others’mistakes and facing the social consequences that excessive automation has created elsewhere.

● The demographic dividend others see as temporary could become permanent competitive advantage if leveraged intelligently. The time to choose our path is now.

About the Author :

Mr. Chetan Kulkarni 
Founder and Director
Elansol Technologies Private Limited

Mr. Chetan Kulkarni as the Director of Elansol Technologies is passionate about leading a team of experts who are dedicated to providing cutting-edge solutions.

Mr. Chetan Kulkarni with 19+ years of experience in the field of Electronics, Embedded Systems, IoT & Industry 4.0 brings a wealth of knowledge and expertise to the table.

Mr. Chetan Kulkarni‘s customer-centric approach and experience with international clients have enabled to build pipelines worth millions of dollars.

Mr. Chetan Kulkarni have successfully handled IT-OT integration projects from lead generation to deliveries that have helped his clients to achieve their business objectives.

Mr. Chetan Kulkarni have presented technical papers at various forums.

Mr. Chetan Kulkarni is the winner in Emerson’s Technology Day 2011.

Mr. Chetan Kulkarni have also filed two invention disclosures, with one trade secret awarded.

Mr. Chetan Kulkarni  is Bestowed with the following Licenses & Certifications :

https://www.linkedin.com/in/chetan-kulkarni-32252618/details/certifications/

Mr. Chetan Kulkarni can be contacted at :

LinkedIn | E-mail (Official) | E-mail (Personal) 

About Elansol Technologies Private Limited

At Elansol Technologies, we empower industries to embrace the future of smart manufacturing and digital transformation.

Elansol Technologies is a one-stop solution partner for businesses seeking to implement advanced Industry 4.0 technologies—driving efficiency, productivity, and intelligent decision-making.

Elansol Technologies specialize in:

● Industry 4.0 Consulting & Implementation
● Industrial Automation & IIoT Integration
● AI-Powered Vision Systems
● End-to-End Smart Factory Solutions

Elansol Technologies mission is to bridge the gap between the physical and digital worlds. From upgrading legacy production systems to deploying real-time autonomous solutions using AI, ML, and IIoT, our experts deliver scalable, innovation-led outcomes tailored to your operational goals.

With a client-centric mindset and a passion for solving complex industrial challenges, Elansol Technologies is on a journey to become a global center of excellence in Industry 4.0 transformation.

Elansol Technologies can be contacted at:

LinkedIn | Website | E-mail (Sales) | E-mail (HR)

The post India’s Industrial Future appeared first on Industry4o.com.

Hon’ble CM Shri Siddaramaiah Inaugurated Bengaluru Skill Summit 2025 Strengthening Karnataka’s Position as a Global Hub for Workforce Innovation and Skilling Excellence

Leaders highlighted collaboration, inclusivity, and innovation as key to preparing India’s workforce for 2030

Bengaluru, 4th November 2025 – The inaugural edition of the Bengaluru Skill Summit 2025 opened today at The Lalit Ashok, Bengaluru, marking the beginning of a two-day dialogue on workforce innovation and future readiness. Shri Siddaramaiah, Hon’ble Chief Minister of Karnataka graced the inaugural event joined by Shri D. K. Shivakumar, Hon’ble Deputy Chief Minister of Karnataka, and Dr. Sharanaprakash R. Patil, Hon’ble Minister for Skill Development, Entrepreneurship & Livelihood, Government of Karnataka and Medical Education.

 The Department of Skill Development, Entrepreneurship & Livelihood (SDEL) is spearheading this initiative to enhance employability and build future-ready skills. The summit is hosted by the Karnataka Skill Development Corporation (KSDC) in collaboration with the Karnataka Skill Development Authority (KSDA), with the Karnataka Digital Economy Mission (KDEM) as the Knowledge Partner while the event is managed by Trescon Global Business Solutions Pvt.Ltd. It highlights Karnataka’s progressive journey in empowering its youth workforce through innovation and skill-driven initiatives, while also serving as a platform to explore global partnerships and employment opportunities.  Notably, Germany joins as the Country Partner for this edition of the summit.

The inauguration ceremony commenced with a vibrant cultural performance under Karnataka Rajyotsava Sadagara. Smt. Shivakantamma (Kanta) Naik, Chairperson, Karnataka Skill Development Corporation and Karnataka Vocational Training & Skill Development Corporation, delivered the welcome address.

Guests of Honour included The Hon. Muhammad Reza Cassam Uteem, Minister of Labour and Industrial Relations, Republic of Mauritius; Shri. Priyank Kharge, Hon’ble Minister for Rural Development & Panchayat Raj and Information Technology & Biotechnology, Government of Karnataka; Shri. Sharanabasappa Darshanapur; Minister for Small Scale Industries and Public Enterprises, Government of Karnataka; Dr. Manjunath Bhandary, Hon’ble Member of the Legislative Council (MLC), Government of Karnataka; Shri Radhakrishna Doddamani, Hon’ble Member of Parliament, Kalaburagi Lok Sabha Constituency;His Excellency Dr. Philipp Ackermann, Ambassador of the Federal Republic of Germany to India — who addressed the gathering virtually; Dr. E. V. Ramana Reddy, IAS (R), Chairman, Karnataka Skill Development Authority; and Shri. Ashutosh Gupta, Managing Director – India and Asia Pacific, Coursera.

Shri Siddaramaiah, Hon’ble Chief Minister of Karnataka during his remarkable speech highlighted, “Skill is not built in a day, it’s a product of patience , perseverance, and continuous learning. He urged students to stay consistent, noting that motivation gets you started, but consistency keeps you growing. Karnataka has always been at the forefront of skilling, being among the first states in India to set up a dedicated Department of Skill Development and Entrepreneurship in 2016/17.”

“The Kaushalya Karnataka Yojana took skill development to every corner of the state, surpassing the initial target of training 5 lakh youth. Under the Yuga program, over 1 lakh youth were trained in IT, electronics, and animation, ensuring Karnataka’s lead in the Fourth Industrial Revolution. Karnataka government empowers, enables, and uplifts the youth of the future nation.

“Karnataka aims to become the Skill Capital of India and a 1 trillion economy by 2032, powered by talent, technology, and tenacity. The world looks out to Karnataka not only for innovation but for inspiration. Every thought, every heart, and every hand will build the Karnataka of our dreams.” he added.

Highlighting the noble initiative undertaken by Dr. Sharanaprakash R. Patil, Shri D. K. Shivakumar, Hon’ble Deputy Chief Minister of Karnataka stated, “Wherever innovation happens, Karnataka has always led first. The state has consistently set benchmarks in various sectors. The State of Karnataka is open for discussions, collaborations, and knowledge sharing to strengthen the ecosystem of skill and innovation. The long-term global partnerships, especially with German institutions, have been key to Karnataka’s ongoing success story in innovation and skill development and it will keep growing under the current government’s initiative to skill & upskill the youth workforce.”

Dr. E. V. Ramana Reddy, IAS (R),Chairman – Karnataka Skill Development Authority (KSDA) said “Bengaluru Skill Summit strengthens our ‘Workforce 2030’ vision — a roadmap where scale, systems, and synergy come together. By aligning Karnataka’s skilling strategy with global benchmarks, we are preparing young minds to navigate and lead in a rapidly evolving economy.”

Mr. Sanjeev Gupta, CEO of Karnataka Digital Economy Mission (KDEM) said, “Karnataka has always been at the forefront of connecting talent with opportunity – from nurturing India’s IT capital to now shaping the AI Workforce of 2030. The Government of Karnataka’s forward-looking skilling initiatives are bridging the crucial gap between education and employability by integrating industry, academia, and technology. At Karnataka Digital Economy Mission, our focus is on building a future-ready talent ecosystem, one that equips every youth, from Bengaluru to the Beyond Bengaluru clusters, to thrive in an AI-augmented economy. The Bengaluru Skill Summit 2025 exemplifies our vision of a scalable and synergistic talent ecosystem that empowers every youth, not just in Bengaluru, but across all clusters, to thrive in an AI-driven economy. This Summit transcends showcasing progress – it charts an inclusive and innovative pathway for India to lead the world in workforce development and global employability. It also aims to encourage employers to get closely connected with academia and the participation of Industry on Campus going high up is the aspiration here”

Over the next two days, the Bengaluru Skill Summit will host a dynamic series of conference sessions featuring renowned industry leaders, including Subroto Bagchi, Co-Founder of Mindtree and Former Chairman of the Odisha Skill Development Authority; B. V. R. Subrahmanyam, IAS (R), Chief Executive Officer, NITI Aayog; and Ravi Venkatesan, Chairman of the Global Energy Alliance and Former Chairman of Microsoft India and Bank of Baroda. These thought leaders will share their insights on the future of workforce development, emerging skill trends, and Karnataka’s pivotal role in shaping India’s skilling revolution.

Day 2 and 3 of the summit promise an engaging lineup of activities, including insightful roundtables, keynote addresses, the Skillathon Finals, the Kaushalya Karnataka Awards, and vibrant cultural performances. Discussions across the two days will revolve around key themes such as ‘Karnataka’s Dialogue on Local Skills for Global Opportunities’, ‘Green Skills for a Sustainable Future’, ‘Global Best Practices in Skilling’, ‘Building Tomorrow’s Skills Today’, ‘Country Partner Session by German Missions in India’, ‘Advancing Automation for Industry 4.0’, and ‘Karnataka as the Skills Gateway to the World’, among other areas of strategic focus.

For more details and updates, visit www.bengaluruskillsummit.com.

For any media related queries, please contact:

Imran Mushtaq | Sr. PR & Media Executive | 77809 02815 | imran@tresconglobal.com
Reeha Haris | PR & Media Executive | reeha@tresconglobal.com

Bengaluru Skill Summit 2025 Social Media Platforms:

LinkedIn | YouTube | X | Instagram | FaceBook

Announcement Press Release :

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The automotive industry is at a pivotal juncture where emerging technologies are redefining traditional practices. One such area undergoing a seismic shift is warranty management. Long seen as a cost center, the warranty process is now becoming a strategic lever for manufacturers, thanks to the transformative power of Artificial Intelligence (AI).

Why AI Matters in Warranty Management

AI is a catalyst for innovation. Here’s how it’s reshaping automotive warranty management:

Enhanced Claim Processing

AI eliminates the bottlenecks of manual claim reviews by automating the extraction and validation of claim details. Claims that once took days to process can now be resolved in hours, ensuring faster customer service. Advanced algorithms learn from past claims to continually improve decision accuracy, handling high volumes with precision.

Fraud Detection at Scale

Fraudulent warranty claims cost the automotive industry billions annually. AI, equipped with anomaly detection capabilities, identifies unusual patterns that human reviewers might miss. A sudden spike in claims for a specific part or region can be flagged for deeper analysis, saving costs and maintaining compliance.

Predictive Insights for Proactive Action

By analyzing historical data, AI empowers manufacturers to anticipate failures before they occur. This predictive power not only reduces warranty claims but also informs product design improvements, leading to more durable and reliable vehicles.

Beyond Cost Savings—Delivering Strategic Value

AI doesn’t just streamline operations; it elevates customer experiences and drives brand loyalty:

1️⃣ Faster Resolutions: Customers value speed, and AI ensures swift claim approvals, reducing downtime for vehicle owners.

2️⃣ Improved Quality Control: By spotting recurring issues early, manufacturers can enhance product quality, aligning with evolving customer expectations for reliability.

3️⃣ Scalable Solutions: From global consistency in warranty practices to localized issue detection, AI adapts to the complexities of diverse markets.

The Road Ahead: AI’s Expanding Role

As AI continues to evolve, its integration with IoT-enabled vehicles promises real-time diagnostics and seamless warranty servicing. Imagine a car identifying a potential failure, alerting the owner, and automatically scheduling service, all before an issue arises. This isn’t the future; it’s the trajectory we’re driving toward.

Challenges to Navigate

While the potential is immense, manufacturers must address challenges like:

• High Initial Costs: Investing in AI infrastructure requires strategic planning and long-term commitment.
• Data Quality: Clean, unbiased data is critical for accurate AI predictions.
• Human Collaboration: AI augments human expertise but doesn’t replace it. A balance of technology and human oversight ensures robust decision-making.

How AI is Reframing Warranty Policies

Beyond operational efficiency, AI is driving a quiet revolution in how warranty policies themselves are structured, priced, and delivered:

Predictive Warranty Provisioning

• Early fault detection through sensors.
• Anticipating claims before failures happen.
• Smarter financial reserves that align with real-world risks.

Usage-Based Policies

• Tailored warranty plans based on driving patterns.
• Adjustments for environmental conditions (climate, terrain).
• More personalized coverage instead of one-size-fits-all.

Risk-Based Pricing Models

• Transparent premiums tied to usage and risk.
• Optimized profitability for manufacturers.
• Greater trust through fairness in coverage.

Data-Driven Adjustments

• Monitoring claim trends in real time.
• Aligning coverage with actual failure rates.
• Keeping costs sustainable while protecting customers.

Dynamic & Future-Ready Warranties

• Policies that adapt over time with vehicle performance.
• Proactive insights that drive service and maintenance.
• A balance between customer satisfaction and efficiency.

Transforming Warranty into a Competitive Edge

Automotive companies embracing AI are witnessing the transition of warranty management from a reactive function to a proactive and strategic asset. By rethinking not just how claims are handled, but how policies are framed, the industry can reduce costs, improve product quality, and—most importantly—deliver smarter, fairer, and more customer-focused coverage.

The future of automotive warranty is smarter, faster, personalized, and AI-driven—and this time, AI isn’t just behind the wheel of the car, it’s rewriting the rulebook on protection.

AI-driven innovations for smarter, adaptive, and efficient warranty policy management.

About the Author :

Mr. Prabhakar V
Digital Transformation Leader
TATA Technologies

Mr. Prabhakar V. is a distinguished digital transformation leader with over two decades of experience across industries such as automotive, sustainable energy, chemical, and HVAC. Currently associated with Tata Technologies, Mr. Prabhakar has consistently delivered transformative digital initiatives, driving significant impact and innovation across the value chain.

Throughout his career, Mr. Prabhakar has collaborated with global organizations to implement complex IT and digital programs, particularly in areas like process optimization, smart manufacturing, and automation. Known for his ability to leverage Industry 4.0 principles, Mr. Prabhakar empowers teams and organizations to embrace digital transformation and make data-driven decisions.

Passionate about knowledge sharing and mentoring, Mr. Prabhakar frequently publishes insightful articles on LinkedIn, covering topics such as AI, IoT, and the future of smart manufacturing. His thought leadership has garnered attention from industry professionals worldwide, positioning him as a respected voice in the digital transformation and technology innovation space.

Mr. Prabhakar also mentors students in supply chain operations, guiding the next generation of leaders in digital and supply chain transformations.

Mr. Prabhakar V can be contacted at :

Linkedin | E-mail

Also read Mr Prabhakar‘s earlier article :

The post AI – Revolutionizing Automotive Warranty appeared first on Industry4o.com.

1. Start Small and Focus on One Problem

About the Author:

Mr. Glen Young 
Fractional Chief Data Analytics Officer (CDAO)
Fraction8

Mr. Glen Young is an experienced Data & Analytics Executive with over 15 years of expertise in designing and building scalable data platforms.

Mr. Glen Young is a proven leader in driving data architecture, technical direction and implementing strong data governance frameworks.

Mr. Glen Young is a passionate about fostering innovation, enhancing data capabilities, supporting data science, machine learning, and AI initiatives.

Mr. Glen Young is committed to making a meaningful impact through data-driven decision-making and continuous improvement.

Mr. Glen Young is excited to collaborate with cross-functional teams and stakeholders to achieve strategic objectives and drive business success.

Mr. Glen Young is Bestowed with the following Licences & Certifications :

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

Mr. Glen Young  can be contacted at :

LinkedIn | Website

About Fraction8

Fraction8 Australian Fractional Chief Data Analytics Officer (CDAO) offers expert remote leadership, providing strategic guidance in data and analytics without the need for a full time executive. This role drives data-driven transformation, enabling businesses to leverage data and AI for strategic growth and innovation.

At Fraction8, our mission is to serve as your fractional partner for data-driven success. The benefits of our service include cost-effective access to top-tier data expertise, flexibility in engagement, and the ability to scale data initiatives according to business needs.

Fraction8‘s Services :

Fraction8 play a crucial role in assisting small to medium businesses in Australia and New Zealand by providing a functional Chief Data Analytics Officer (CDAO). This enables our clients to effectively leverage data without the necessity of employing a full-time executive. Designed for organisations seeking expert-level guidance without the commitment of a full-time executive, Fraction8 provide strategic leadership, data-driven insights, and tailored roadmaps to empower smarter decisions.

Services Provided by Fraction8 :

Business Consulting • IT Consulting • Information Management • Business • Analytics • Change Management • Corporate Training • Database • Development • Application Development

Fraction8 can be contacted at:

LinkedIn | Website

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BL450 Digital Twin Edge Terminal delivers real-time factory data, 3D visualization and seamless integration with PLC, SCADA and MES for smarter, faster and more efficient manufacturing.

Case Details

Mr. Sam Ma 
CEO – Beilai Technology Company Ltd. 

Mr. Sam Ma is a specialist in ARM Industrial Computer, 4G RTU, M2M, IIoT  Gateway, MQTT,SNMP,IEC104, Modbus TCP, BACnet/IP, OPC UA, Profinet, EtherCAT, Ethernet/IP IO Modules OEM ODM since 2005.

About Beilai Technology Company Ltd.

Beilai Technology Company Ltd., was founded in 2005.

Beilai Technology Company Ltd. is an ISO9001 certified Company & was recognized as a national High-Tech Enterprise and also as Specialized & Innovative enterprise.

Beilai Technology Company Ltd. has a strong R&D team with rich and professional experience in software and hardware design, especially the functional design of various ARM chips, including NXP, TI, Rockchip, Xilinx, Newton, MTK, Winner and many other brands.

Beilai Technology Company Ltd. master the design specifications of industrial-grade products and are good at dealing with electromagnetic compatibility issues such as EMC and EMI to ensure that the products are stable and reliable.

Beilai Technology Company Ltd. focus on the research, development and manufacturing of ARM industrial computers, edge computing gateways, industrial Internet of Things, industrial Internet of Things gateways and IO systems, industrial automation gateways and IO systems, building HVAC Internet of Things gateways and IO systems, power energy Internet of Things gateways and IO systems, etc.

Beilai Technology Company Ltd. has always been based on the concept of high-precision and new product development, based in China and serving the world, to ensure the reliable connection of intelligent manufacturing, digital transformation, industrial Internet of Things, building HVAC automation, industrial automation, and power energy
automation systems.

Beilai Technology Company Ltd. adheres to the concept of innovation, and its products serve more than 200 countries and regions around the world, with many top partners in different industries.

Beilai Technology Company Ltd. is a member of the OPC UA International Foundation, IoT Industry Association &  China Intelligent Association.

Beilai Technology Company Ltd. is a Thingsboard Hardware Partner & AWS Certified Hardware Partner.

Beilai Technology Company Ltd. Mission is to Make IIoT Easier.

Beilai Technology Company Ltd. can be contacted at :

Website | LinkedIn | E-mail | E-mail 

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How Generative and Agentic AI Are Transforming Manufacturing UX

Executive Summary

The manufacturing floor has undergone a remarkable transformation over the past
several decades. What once resembled a collection of isolated mechanical beasts, each
with its own analog gauges and status lights, is evolving into an interconnected
ecosystem of intelligent systems . Today, we stand at the precipice of perhaps the most
significant shift in industrial user experience (UX) design: the emergence of generative
and agentic AI as the primary interface between human operators and complex
manufacturing systems.

This evolution represents more than just a technological upgrade; it fundamentally
redefines how industrial workers interact with, understand, and control their production
environments. The traditional machine-centric view, where operators monitored
individual assets through dedicated human-machine interfaces (HMIs) and analog
displays, is giving way to something far more sophisticated and intuitive.

From Siloed Machine-Centric Views to Persona-Based Interfaces

Traditional manufacturing interfaces were focused on individual machine status panels
and analog gauges, creating information silos. Operators needed to piece together a
plant-wide understanding from disparate sources, a cognitively demanding and
fragmented process .

The first major paradigm shift in manufacturing UX came with the move from machine-centric to persona-based interfaces. This transition introduced web technologies, single page applications, and Web 2.0 capabilities to the factory floor. Now, operators access dynamic, multi-dimensional information that shows rich relationships between different data points, all through interfaces tailored to their specific roles and responsibilities.

These modern persona-based systems consolidate multiple data streams into role specific
dashboards, enabling operators to:

For example, a plant manager receives business-impact data, while a maintenance
technician sees technical diagnostics. This tailored approach made traditional control
panels feel antiquated.

However, despite these advances, persona-based systems still require users to
interpret data, identify patterns, and make decisions based on static presentations of
information. The cognitive load remains high, and the interface primarily serves as a
conduit for information, rather than an intelligent partner in decision-making .

Enter the Age of Experience-Driven AI

We are now entering a third phase of manufacturing UX evolution: an experience-driven
paradigm powered by generative and agentic AI. This shift moves beyond simply
presenting information toward systems that understand context, anticipate needs, and
autonomously orchestrate complex response workflows across multiple enterprise
systems.

The emerging connected industrial worker architecture integrates multiple AI agents
operating across different layers, from asset management and safety regulation to shift
transitions. These agents coordinate through modern platforms to deliver immersive
augmented reality (AR) experiences and real-time intelligence directly to operators .

At the core of this transformation is AI’s ability to:

Interactions feel less like computer commands and more like delegating tasks to expert
colleagues. These agentic AI systems don’t just provide data or recommendations; they
interpret situations, orchestrate responses, and execute multi-step workflows while
keeping human operators informed and in control.

From Analysis to Autonomous Action Orchestration

Consider the scenario of a machine showing performance anomalies:

Here’s how an agentic AI might handle it:

1. Initial Analysis & Communication: The AI explains: “The extruder temperature
variance is 15% higher than normal for this material, typically indicating a bearing
issue. Initiating a coordinated maintenance response.”

2. Autonomous Workflow Orchestration: The AI autonomous actions include:

3. Human-in-the-Loop Approval “I’ve scheduled preliminary maintenance for Thursday 2-6 AM when Line 3 is down for material changeover. Bearing kit #BRG-7745 is in stock. The ServiceNow ticket #INC-2024-15847 has been created and requires your approval to finalize the maintenance window. Should I proceed with crew notification and work order generation?”

This agentic approach transforms a single anomaly detection into a fully orchestrated response that considers operational context, resource availability, business priorities, and stakeholder communication; all while maintaining human oversight and final approval authority. The AI doesn’t just identify problems; it becomes an intelligent operations coordinator that thinks several steps ahead and coordinates across multiple systems and stakeholders to ensure optimal outcomes.

Contextual Continuity and Shift Intelligence

Agentic AI systems maintain operational context continuously across shifts and personnel changes. Instead of isolated interactions, the AI understands the ongoing narrative:

“During the previous shift, Line 3 experienced two minor stoppages due to material feed
issues. The temporary fix worked, but sensor calibration still requires attention. Overall
efficiency improved by 3% thanks to the new temperature profile.”

This contextual intelligence extends beyond status reporting. When equipment is found on the shop floor, the AI analyzes potential safety hazards or process deviations, crossreferencing recent maintenance, production schedules, and safety protocols to
recommend actions automatically .

Integrated Ecosystem Intelligence

The most transformative impact of agentic AI is its seamless integration with enterprise systems, creating a unified intelligence layer spanning the entire manufacturing operation. When incidents occur, the AI not only notifies personnel but also analyzes the situation, determines the appropriate response, and automatically initiates ticketing workflows (e.g., through ServiceNow) complete with contextual details .

This integration fosters a self-organizing response system, ensuring that:

Moreover, the AI identifies patterns, such as incident correlations with maintenance
activities or environmental conditions, allowing it to suggest preventive measures
proactively .

Toward the Integrated Smart Factory

As generative and agentic AI technologies mature, the distinction between digital and
physical operations will become increasingly blurred. AI agents will seamlessly:

The factory of the future will be defined not just by the hum of machines but by intelligent conversations between humans and AI systems, working together to optimize production, enhance safety, and boost responsiveness.

Organizations embracing this transformation report significant gains in:

The shift from machine-centric to experience-driven manufacturing UX is arguably one
of the most profound changes in industrial technology since the inception of automation.

Conclusion: The Imperative for Change

For manufacturing leaders, the question is no longer if this transformation will happen, but whether they will lead it or be forced to follow. The tools and technologies are already available; the only remaining hurdle is vision.

Manufacturing must be reimagined, not as a collection of machines to monitor but as an ecosystem of intelligent systems and empowered workers collaborating to create value in unprecedented ways.

The future of manufacturing UX is experience-driven and AI-enhanced, and it’s immediately achievable. The transformation starts with one workflow, one AI agent, and the courage to envision a new partnership between humans and machines in production.

About the author :

Mr. Avneesh Balyan 
Chief Architect – AI@Edge, I4.0 & Edge Computing – Kyndryl

Mr. Avneesh believes that technologies like Industry 4.0, 5G, and Edge Computing are not just innovations—they are key drivers of meaningful business transformation. Rather than simply digitizing existing processes, he focuses on leveraging technology to fundamentally reshape enterprise business models.

With over 20 years of proven thought leadership and a strong technical foundation,
Mr.  Avneesh combines visionary thinking with a pragmatic approach to implementation. A problem-solver and technology enthusiast, he remains grounded in the realities of deployment and operational complexity.

Mr.  Avneesh provides architectural leadership to cross-functional teams, helping define technology strategies and develop innovative, revenue-generating solutions. With extensive experience working directly with C-level executives, Mr.  Avneesh eQectively bridges the gap between strategic business goals and technical execution. A trusted partner to customer planning and technical teams, Mr.  Avneesh collaborates to define product architectures and roadmaps that are both customer-centric and future-ready.

Mr. Avneesh Balyan is Bestowed with the following Licenses & Certifications :

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

Mr. Avneesh Balyan can be contacted at:

E-mail | LinkedIn

Mr. Manbir Singh
Digital Transformation Leader – Kyndryl

A forward-thinking and dynamic leader with expertise in driving digital transformation and optimizing operations in manufacturing and supply chains, with a proven track record in the automotive and aerospace industries. With a deep understanding of the intersection between technology and manufacturing processes, Mr. Manbir’s expertise includes driving digital innovation and operational eQiciency while leading numerous digital transformation initiatives across various domains involving automation, advanced analytics, and AI/ML technologies.

Mr. Manbir has led numerous digital transformation initiatives across various domains throughout his career, involving automation, advanced analytics, and AI/ML technologies.

Mr. Manbir holds a Bachelor’s degree in Supply Chain Management from the University of Michigan-Dearborn and an MBA from the University of Texas-Tyler.

Mr. Manbir champions a holistic approach, bringing together People, Processes, and Technology to foster meaningful engagement across all levels of an organization.

Mr. Manbir delivers tailored strategies and ensures every step resonates with purpose and precision, empowering organizations to embrace change with confidence.

Mr. Manbir Singh is Bestowed with the following Licenses & Certifications :

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

Mr. Manbir Singh can be contacted at:

E-mail | LinkedIn

The post Machine-Centric to Experience-Driven ( Manufacturing UX ) appeared first on Industry4o.com.