• Parmenides’ Fallacy

    Parmenides’ Fallacy

    If you believe innovation is unnecessary just because disaster hasn’t struck, you’re already caught in Parmenides’ Fallacy. Parmenides, the Greek logician, argued that reality is unchanging and the world evolves without our intervention.   We compare today to the past, rather than to what would have likely happened if we had done nothing. When it Continue reading

  • Strategy – an ongoing journey!

    Strategy – an ongoing journey!

    You will be disappointed with the results if your strategy is a finished product.Why?Strategy was never meant to be a destination or a solution. It was meant to be a journey that needed continuous leadership. The term strategy originates from the ancient Greek word “strategos”, meaning “general”—the military leader responsible for planning and directing troops Continue reading

  • Which CTO personas have you seen in your business?

    Which CTO personas have you seen in your business?

    CTO’s role vary in scope depending on the industry and organization size. In a typical Gartner personification, we see the CTO’s role in primary industry businesses in four personas: ·       Digital Business Leader — Accountable for the digital business technology strategy and building and architecting the required digital platforms. ·     Continue reading

  • Data & AI Literacy

    Data & AI Literacy

    Data literacy helps identify, understand, interpret, and act upon data within a business context to drive business value or outcomes. AI literacy helps identify implications, risks, and resulting value and outcomes from data using AI. Continue reading

  • AI Deployment & AI Adoption

    AI Deployment & AI Adoption

    We often celebrate AI success with the number of AI deployments to production. But do we measure the adoption? Because it is adoption that drives the outcome. Deployment is simply a technical milestone; adoption is an organizational change where people, processes, and governance align to create measurable value at scale. Before deploying AI solutions, we Continue reading

  • How to scale Technology Innovations that deliver business value?

    Even after proofs of concepts (POCs) that solve identified business problems, scaling the innovative solutions can feel like trying to build a sandcastle during high tide. Two key areas that can help scale your innovation efforts: You will always have limited resources to help all the innovation efforts that can be there at a given Continue reading

  • Major AI models already cross EU AI act’s FLOP limit for systemic risk before this comes into effect?  

    What is FLOP – the number of floating-point operations (FLOP) of cumulative compute used during a model’s training? What is the limit as per the current EU AI act – 1025 FLOP What does it mean if a model crosses this limit – If a general-purpose AI model is trained using more than 1025 FLOP, it is Continue reading

  • What you see is all there is or shall I say what you show is all there is?

    Let me start with a beautiful scenario from Innovator’s Dilemma (slightly adapted version)In the same week, two respected employees, one from marketing, the other from engineering, run two very different ideas for new products past their common manager two levels above them in the organization. The marketer comes first, with an idea for a higher-capacity, Continue reading

  • Isn’t nearly everything a technology-led innovation?

    When we think of technology-led innovation, we misjudge it as some emerging technology or a new shiny tool.However, if we extend technology’s definition as Clay Christensen put it – “the processes by which an organization transforms labour, capital, materials, and information into products and services of greater value”, then innovation refers to a change through Continue reading

  • Reverse Innovation: A key tool for your innovation toolkit

    Reverse Innovation: A key tool for your innovation toolkit

    Reverse innovation refers to the strategy of bringing your local innovations which have worked for a local market to the centre to expand and scale for your wider customer base or wider organizational context. This approach flips the traditional innovation flow, which typically sees products or services to be designed first and then trying to Continue reading

  • Leadership in context

    Warren Buffett once said:“When a management with a reputation for brilliance tackles a business with a reputation for bad economics, it is the reputation of the business that remains intact.” While this is true in the context of wider market and competitive forces beyond management control, I find this equally true in the context of Continue reading

  • Innovation: Let’s start with the basics

    Innovation: Let’s start with the basics

    For the next couple of weeks, I’ll share my ideas, experiences, and learnings about innovation. Let’s start with the basics, how do you define innovation? I like the definition: Innovation is the process of turning new ideas into solutions that create value. This definition is intentionally generic but covers all the dimensions. Let’s break it Continue reading

  • Uncertainity

    World uncertainty is increasing again. As per the latest World Uncertainty Index report, it has been approaching the 50k mark, near the all-time high we saw during the 2020 Covid time.World Uncertainty is primarily a measure of global economic and policy uncertainty. Combining it with the rate of change in technology is making our personal Continue reading

  • Could AI experience cognitive decline/disorder, and would we soon need ‘AI therapists’ to treat the AI?

    Could AI experience cognitive decline/disorder, and would we soon need ‘AI therapists’ to treat the AI?

    We humans as we age, we go through common cognitive disorders ranging from normal declines such as memory, language, and reasoning to more severe ones such as changes in personality, Parkinson’s, or dementia.We are now learning that AI systems particularly Large Language Models (LLMs) exhibit behaviors similar to human cognitive decline ranging from mild such Continue reading

  • Managing Uncertainty:

    Many may assume that top executives have access to all the necessary data and operate with certainty. However, the reality is quite the opposite: as one climbs the career ladder, the level of uncertainty increases. Effectively managing uncertainty is one of the most essential skills for executive success. Continue reading

  • Does an organization need to have a Chief Innovation Officer role?

    Does an organization need to have a Chief Innovation Officer role?

    You might see innovation as a top corporate objective but when it comes to executive responsibility nobody seems to have a clear responsibility for innovation. You might argue that everyone in the organization is responsible for innovation and that very thought leads to mediocre outcomes with innovation. You may not necessarily have a Chief Innovation Continue reading

  • How smart leaders and organizations deal with disruptive change?

    The very processes and values that constitute an organization’s capabilities in one context, define its disabilities in another context. organizations have capabilities that exist independently of the people who work within them. An organization’s capabilities in the form of: Processes and values are not flexible. Process and values that were fit for dealing with a Continue reading

  • AI trends for CTOs, CIOs and IT leaders for 2025

    AI trends for CTOs, CIOs and IT leaders for 2025

    Rate of change for AI is going to accelerate further in 2025. As CIOs, CTOs and IT Leaders prepare for the future, many of them are overwhelmed by the incredible speed of technology innovations, specifically in AI. Top strategic technology AI trends that technology leaders will need to focus on in 2025. Let’s explore each Continue reading

  • Power of listening

    Sometimes the best way to communicate is to say nothing at all. Continue reading

  • Hypermachinity and Hyperhumanity

    Hypermachinity and Hyperhumanity

    Hypermachinity: Taking humanity out of the equation and create better systems and machines.Hyperhumanity: Taking technology deeper into human to enhance human capabilities.Hypermachinity: We have been evolving the machines ever since they have been invented. We have already seen human level competence in some areas with Generative AI. As AI evolves into Artificial General Intelligence, machines Continue reading

  • Quote I am pondering

    Learn how to be alone without being lonely. Solitude is essential for creativity and deep work. #LifeLessons #ExcellentAdvice Continue reading

  • AI supplemented with Quantum Computing

    Mainstream Quantum Computing (QC) is still couple of years away, may be a decade, but advancements in AI; supplemented by QC in its embryonic form is going to accelerate the rate of change for technology and business.Some industries such as finance, life science and pharma will benefit sooner than others.While we look with optimism for Continue reading

  • Leader’s role in innovation

    Leader’s role in innovation

    Leader doesn’t need be an innovator. To innovate, leader’s role is to: Continue reading

  • IT/Business without a proper Architecture

    IT/Business without a proper Architecture

    Architecture is not an inspirational business, it’s a rational procedure to do sensible and hopefully beautiful things; that’s all. —Harry Seidler The Winchester Mystery House in San Jose was built by William Winchester. Although it has approximately 160 rooms, it was missing something critical: it’s blueprint, it’s architecture. The house was built without an architect; Continue reading

  • VUCA and Future-fit Organizations

    VUCA and Future-fit Organizations

    The U.S. Army War College coined the term VUCA in 1987 to describe or to reflect on the volatility, uncertainty, complexity and ambiguity of the post-Cold War world. The world today is much more VUCA than it was in 1987 and organizations need to be proactive in moving from an ad hoc approach to trendspotting Continue reading

  • Role of a ‘Futurist’

    Organizations increasingly are having some sort of ‘Futurist’ roles. These individuals are typically tasked with anticipating future trends and create long-term strategies. However, I believe, rather than having specialised role of a ‘futurist’, every leader must be somewhat of a futurist. As encyclopedia defines, Futuring is the field of using a systematic process for thinking Continue reading

  • Maximizing Business Value with Small Language Models (SLMs)

    Organizations are finally coming close with the reality of how to responsibly use Large Language Models(LLMs) for the business use cases that are not merely experimental but provide real business value. While Large Language Models (LLMs) have been great with generic language understanding; they are costly to customize for a specific domain or simply for Continue reading

  • Analysis Paralysis

    A wise rabbi is on his deathbed, surrounded by his students. He tells his best student, “Life is…a river.” This message is passed down the line of students until it reaches the youngest, who asks, “But what does the rabbi mean, life is a river?” The question is then passed back up and the wisest Continue reading

  • AI Awareness & AI Literacy

    AI Awareness & AI Literacy

    To succeed with AI you can’t just have bunch of AI specialists, you need to educate your entire workforce — from the boardroom to front-line workers — on the technical, value and ethical aspects of AI. Most of us now have AI awareness through our own curiosity, social media or supercharged sales pitches but with Continue reading

  • Forceful change leads to mediocrity

    Most of us keep learning and exploring different areas in our professional work. Some of us become specialists, and some of us enjoy being generalists. But many times, we have seen that a talented person can quickly become mediocre when you force them to be someone they aren’t. Continue reading

  • IT – ‘a strategic partner’ or merely a ‘cost centre’

    ON APRIL FOOLS’ Day, Intel’s employee newsletter used to feature a farcical story whose joke was that it was obviously impossible. On April 1, 1998, the headline was “Intel IT Wins an Intel Achievement Award.” Everyone in the enterprise laughed—except, of course, for the IT employees. This happened more than two decades ago and since Continue reading

  • The Invisible Drain: AI’s Escalating Impact on Global Water Resources

    The Invisible Drain: AI’s Escalating Impact on Global Water Resources

    Emerging technology is water thirsty. As more and more compute power is needed for AI this requires higher levels of cooling. Worldwide demand for AI could be responsible for withdrawing between 4.2 and 6.6 billion cubic meters of water by 2027 — almost half of the United Kingdom’s annual water consumption. There are countless examples Continue reading

  • Could current AI services be moving towards ‘Enshittification’?

    Cory Doctorow a science fiction author has coined the term ‘enshittification’, which refers to; how online platforms win over millions of users by providing great service and delighting their users, but once they’ve established their position, they begin to prey on the new market they created. First, they come for their suppliers and advertisers, but Continue reading

  • There is a third way!

    According to one study the distributed leadership will only continue to build, leading to flatter organizations. However, the other study suggests that regulations could push leadership go backward, toward more hierarchy. There are pros and cons of both leadership models. Too distributed organisations don’t have total view of the reality, while too centralised remove agency Continue reading

  • AI Evolution

    “AI will evolve more cheaply, more rapidly, and more autonomously than any technology we have ever seen”, seems like a bold prediction, but everything from cheap computational power using hardware like GPUs and TPUs to advancements in deep learning, self-enforcement learnings and NLPs using GPTs and BERT models are all coming together to support this Continue reading

  • AI regulations and Leadership responsibility

    Across the world various government entities have introduced or enacted policies and regulations for AI that will impact organizations. Some of them are: The common theme, regardless of geographical region, is that business leaders need to either step up or step aside. The overall message is that if you are in a leadership role, you Continue reading

  • Predictions and Planning

    Predictions: “No airship will ever fly from New York to Paris. That seems to me to be impossible,” wrote Wilbur Wright, the co-inventor of the airplane, in 1909. Just 10 years later, in 1919, a British airship crossed the Atlantic. “The growth of the Internet will slow drastically,” wrote Paul Krugman in 1998. “Most people Continue reading

  • Get ready for EU AI act

    The AI Act outlines a set of rules for organizations operating in the EU with enforcement starting in late 2024 and expanding through 2027. Almost every organization has exposure to the AI Act because you are responsible for not only the AI capabilities you build, but also those capabilities you already bought. An organization will Continue reading

  • First gradually, then suddenly!

    In Ernest Hemingway’s novel The Sun Also Rises, a narrator asks his drunk friend how he went bankrupt. “Two ways,” he answers, “First gradually, then suddenly.” Some technological changes happen that way too. Technologies that have been ascending in a small way burst into the mainstream and are adopted everywhere. AI is now going through Continue reading

  • Learning in the age of AI

    The internet has made a vast amount of information available to us on demand. Recent developments in AI (with LLMs) have made learning even more accessible to us without much training. Our devices can either deaden our skills or heighten them. The secret to learning now is to partner effectively with intelligent tools. We would Continue reading

  • AI Architecture Principles

    The rush by organizations to embrace AI is on. Though few know exactly how they will proceed, many are looking to use AI to innovate and change almost every area of their business and operating models. But AI brings with it serious risks of bias against individuals and erroneous or even wholly fictional output. Organizations Continue reading

  • AI readiness

    Sooner or later, organizations that are still sitting on the fence with their AI decision will have to be in the game to defend, compete, and differentiate. The suggestion in the meantime would be that even if you are not ready for AI, you need to be AI-ready. Continue reading

  • Narratives

    In an empathetic mindset we are influenced by narratives not by data and reasoning. Continue reading

  • What you measure gets done!

    What you measure gets done! If you measure your team on productivity then you will see them booking their time on ‘productive’ tasks. A better measure would be to look for value, but that needs long term thinking. Continue reading

  • Prepare or Position

    When you know what’s coming, prepare. When you don’t know what’s coming, position. – Shane P Simple and powerful, it resonated. Continue reading

  • Chief AI Officer Role?

    Given the pace of change that Gen AI has brought to organizations’ AI initiatives, questions are being raised whether there is a need to have a C-level role such as Chief AI officer (CAIO). My view is that AI has a broad impact across the organization, and several stakeholders should collectively own this area: AI Continue reading

  • What can businesses learn from exaptation?

    The biology term exaptation was coined by great evolutionary biologist Stephen Jay Gould to explain a trait that can evolve because it served one particular function, but subsequently, it may come to serve another. For example, although today most birds use their feathers to fly, it would be incorrect to say that this means that Continue reading