“The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” with Eric Siegel

The AI Playbook featured on Bridging the Gaps

The most powerful tool often comes with the greatest challenges. In recent times Machine learning has emerged as the world’s leading general-purpose technology, yet its implementation remains notably complex. Beyond the realm of Big Tech and a select few leading enterprises, many machine learning initiatives don’t succeed, failing to deliver on their potential. What’s lacking? A specialised business approach and development & deployment strategy tailored for widespread adoption. In his recent book “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” acclaimed author Eric Siegel introduces a comprehensive six-step methodology for guiding machine learning projects from inception to implementation. The book showcases the methodology through both successful and unsuccessful anecdotes, featuring insightful case studies from renowned companies such as UPS, FICO, and prominent dot-coms. In this episode of Bridging the Gaps, I speak with Eric Siege. We discuss this disciplined approach that empowers business professionals, and establishes a sorely needed strategic framework for data professionals.

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker.

We begin our discussion by addressing Eric’s notable observation, highlighted both in his presentations and book, that the “AI Hype” is a distraction for companies. Eric elaborates on this notion, providing detailed insights. Additionally, we explore the suggestion to shift focus from the broad term “AI” to the more specific “Machine Learning.” Our conversation then delves into the challenges faced by companies and professionals in conceptualising and deploying AI-driven ideas and solutions. This then leads to the consideration of whether forming specialised teams and developing focused strategies are necessary to address these challenges effectively. Next, we delve into the intricacies of the six-step BizML process introduced by Eric in his book, comparing it to the concept of MLOps. We then thoroughly examine the BizML process, dissecting its components and implications. Overall, this has been a highly enlightening and informative discussion.

Complement this discussion with “Working with AI: Real Stories of Human-Machine Collaboration” with Professor Thomas Davenport and Professor Steven Miller and then listen to “Machines like Us: TOWARD AI WITH COMMON SENSE” with Professor Ronald Brachman

By |February 11th, 2024|Artificial Intelligence, Computer Science, Podcasts, Technology|
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“Sentience: The Invention of Consciousness” with Professor Nicholas Humphrey

Sentience Book Reviewed on Bridging the Gaps

We experience, thus we exist. Our conscious perceptions form the foundation of our self-awareness. They play a vital role in shaping our understanding of ourselves as sentient beings: present, alive, and significant. However, what is the origin of consciousness, and how does the process of experiencing sensations and developing a sense of awareness contribute to its emergence? Is this capacity limited solely to humans? Do other animals share this ability? And what about the potential for future machines?

In his book “Sentience: The Invention of Consciousness” neuropsychologist Professor Nicholas Humphrey uncovers the evolutionary history of consciousness and argues that consciousness evolved to make us feel that life is worth living. Drawing upon his groundbreaking research on social intelligence, as well as his intriguing findings on blindsight in monkeys and profound insights into the philosophy of mind, Professor Humphrey outlines a fascinating narrative to unveil the evolutionary origins of consciousness. In this episode of Bridging the Gaps, I speak with Professor Nicholas Humphrey.

Nicholas Humphrey, Emeritus Professor of Psychology at the London School of Economics, is a theoretical psychologist, who studies the evolution of intelligence and consciousness. He was the first to demonstrate the existence of “blindsight” in monkeys. He has also studied mountain gorillas with Dian Fossey in Rwanda, and proposed the celebrated theory of the “social function of intellect,”. His research holds profound significance in exploring and unravelling the mysteries of the mind and its evolutionary underpinnings.

We start off by discussing the enigma surrounding the emergence of consciousness and the challenges encountered when attempting to understand its nature and origins. Professor Nicholas Humphrey’s book introduces the intriguing concepts of cognitive consciousness and phenomenal consciousness, which we thoroughly explore during our conversation. We then discuss in detail the concept of sentience as presented and explained in this book. We delve into the evolutionary perspective, examining why consciousness became an adaptive trait and how it evolved within living organisms. An intriguing question arises: if our early animal ancestors possessed cognitive consciousness, how did it transition into phenomenal consciousness? Could there exist an observable threshold, such as brain size, neuron count, or processing capacity, at which cognitive consciousness transforms into phenomenal consciousness? We then discuss the fascinating notion of blindsight and its relevance to the theory of consciousness presented in the book. We then delve into the complex concept of sensations, exploring how the firing of neurons and the movement of electric signals within the brain give rise to our subjective experience of consciousness. Lastly, we explore the possibility of consciousness emerging within machines, contemplating its potential evolution beyond organic life.

Complement this discussion with The Case Against Reality” and The Hard Problem of Consciousness with Professor Donald Hoffman and then listen to From Consciousness to Synthetic Consciousness: From One Unknown to Another Unknown with David Chalmers

By |July 15th, 2023|Artificial Intelligence, Neuroscience, Podcasts, Research|
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Reclaiming Human Intelligence and “How to Stay Smart in a Smart World” with Prof. Gerd Gigerenzer

The future of technology is a subject of debate among experts. Some predict a bleak future where robots become dominant, leaving humans behind. Others, known as tech industry boosters, believe that replacing humans with software can lead to a better world. Critics of the tech industry express concern about the negative consequences of surveillance capitalism. Despite these differences, there is a shared belief that machines will eventually surpass humans in most areas. In his recent book “How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms” professor Gerd Gigerenzer argues against this notion and offers insights on how we can maintain control in a world where algorithms are prevalent. In this episode of Bridging the Gaps, I speak with professor Gerd Gigerenzer to discuss challenges posed by rapid developments in the tech sector, particularly in the field of artificial intelligence. We discuss different approaches that individuals can adopt to enhance their awareness of the potential hazards that come with using such systems and explore strategies to maintain control in a world where algorithms play a significant role.

Gerd Gigerenzer is a psychologist and researcher who has made significant contributions to the fields of cognitive psychology and decision-making. He is director emeritus at the Max Planck Institute for Human Development, and is director of the Harding Center for Risk Literacy at the University of Potsdam. He is a professor of psychology at the University of Chicago and is a visiting professor at the University of Virginia. His research focuses on how people make decisions under conditions of uncertainty and how to improve people’s understanding of risk and probability. He has trained judges, physicians, and managers in decision-making and understanding risk.

Our discussion begins by exploring the limitations of present-day narrow and task-specific artificial intelligence systems in dealing with complex scenarios. Professor Gerd Gigerenzer’s argument that simple heuristics may outperform complex algorithms in solving complex problems is particularly noteworthy. In fact, in some complex scenarios, relying on our intuition or “gut feelings” may result in better decisions than relying on sophisticated technological systems. We then discuss the importance of assessing the risks associated with using seemingly free services that actually collect and exploit users’ data and information to sustain their business models. We delve into the topic of recommender systems that subtly influence users’ choices by nudging them towards certain features, services, or information. Next, we examine various strategies for individuals to become more mindful of the potential risks associated with using such systems, and consider ways to maintain control in a world where algorithms wield considerable influence. This has been an insightful discussion.

Complement this discussion with “Machines like Us: TOWARD AI WITH COMMON SENSE” with Professor Ronald Brachman and then listen to “Philosophy of Technology” with Professor Peter-Paul Verbeek”

By |April 1st, 2023|Artificial Intelligence, Future, Technology|
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