In an era shaped by accelerating change, convergence across domains, and an ever-expanding possibility space, traditional methods of prediction and planning have become increasingly inadequate. The static nature of scenario planning—once a cornerstone of strategic foresight—fails to keep pace with the velocity and complexity of today’s world. What’s needed instead is a living, breathing approach. One that adapts, evolves, and acts in real time.
Continue readingMachine learning
China’s AI Breakthrough: What Does Manus Really Signal For AI’s Future?
A recent article described the launch of Manus, an autonomous AI agent developed in China. It has generated debate. in some circles. Some label it a leap in self-directed AI, while others see it as building on existing multi-agent frameworks. Speculation abounds about its true capabilities and how much of the attention is genuine progress versus media-driven hype. Throughout history, we have observed similar moments when an emerging technology prompts sweeping claims that may not align with its real-world limitations.
Continue readingThe Great AI Shift: Services As Software
I came across a very good article that describes the emerging phenomenon that some have termed Services-as-Software. For decades, businesses have structured their operations around human-driven services – coders developing applications, analysts interpreting data, consultants optimizing workflows. Software has long played a supporting role, but the core work remained in human hands. That paradigm is shifting. Here is a summary of the article.
Artificial intelligence (AI) is transforming the very nature of services. What once required teams of specialists is increasingly being handled by AI-powered systems capable of executing tasks autonomously. This transformation isn’t just about automation – it’s about redefining how businesses consume and deliver services. The emerging model, as mentioned, is often called Services as Software, and it marks a profound departure from the past: software is no longer a tool for human workers; in many cases, it is the worker.
Continue readingSensing And Responding: How AI Is Helping Us Navigate An Uncertain World
Over the years, I’ve chronicled how rapid change and pervasive uncertainty have become the hallmarks of our times. In my previous writings, I argued that survival in this dynamic environment depends on a sense and respond approach – rapidly detecting meaningful signals and acting decisively. Today, that vision is evolving into reality. With the convergence of generative and agentic AI, we’re not only theorizing about this paradigm; but moving towards a practical reality that allows us to navigate complexity and turn uncertainty into opportunity.
Continue readingLarge Behavior Models: A New Frontier In AI
Large Behavior Models (LBMs) are emerging as a powerful new tool in AI, offering profound insights into complex human, social, and even organizational behaviors. By processing and learning from enormous datasets—ranging from individual actions to societal trends—LBMs can generate nuanced and adaptive responses, enabling machines to interact with humans in ways that feel natural, responsive, and contextually aware. This capability opens a world of transformative possibilities, blurring the lines between human and machine interaction and reshaping how we experience the digital world.
Continue readingRealizing Value On The Path To Artificial Intelligence
While debates about the long-term implications of Artificial Intelligence (AI) are likely to rage on, AI itself is not waiting for answers.
Continue readingWith AI and ML becoming ubiquitous across industries, it has the same potential to refactor the Fortune 500 as the internet has had over the past several decades
The Machine – making sense of AI
Eight Trends Amplified By COVID-19
I just finished another book and added it to my Library. Pandemic, Inc. explores eight trends that are amplified by the current pandemic. Author Patrick Schwerdtfeger believes we will see more change in the next 12 months then we saw in the last 12 years. He views the current crisis through an optimistic lens, seeing a time of incredible change, but also opportunity.
Continue readingThe Singularity: Connecting Dots
I have found that the metaphor “Connecting the Dots” is a good way to think about the emerging future. With the sheer number of dots emerging, and the pace at which they advance, we are challenged both by the number of dots, and the speed at which they emerge and Intersect. These dots are combining to form virtuous cycles; complex chains of events that reinforce themselves through feedback loops. Visualizing both the connections and the cycles is one approach to finding the signal through the noise.
A Closer Look at Transformation: Sense and Respond Systems
Next up in this transformations series is the sixth enabler: sense and respond systems. These systems are critical to the transformation agenda, as most of the disruptive technologies likely to impact the enterprise in the next decade have data at its core. The resulting data explosion promises to complicate information management for most companies. As the speed of business accelerates and the amount of data flowing through company ecosystems expands, the need to sense stimuli and enable a real time response intensifies. Fortunately, rapid advancements in the price and performance of technology make realizing this sense and respond paradigm achievable and economical for a wide range of use cases – but this is arguably one of the most difficult components of transformation road maps.
Reimagining the Future 