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(as of Aug 25, 2025 21:08:37 UTC – Details)
Explore the background, present landscape, and future trajectory of the three core domains of Artificial Intelligence (AI): Foundational AI, Generative AI, and Causal AI.
Most discussions surrounding AI tend to focus on Generative AI (GenAI). While GenAI is indeed valuable and will deliver substantial benefits, the realm of AI encompasses far more than just GenAI. The evolution of AI has been ongoing for over 70 years. Delve into the intricacies and distinctions among the three branches of AI.
As AI progresses towards broader and more holistic applications, we will witness the advancement of all three domains, alongside their convergence into what is known as Composite AI.
Composite AI is expected to set the benchmark for many years, potentially spanning decades. It will further develop into Artificial General Intelligence (AGI). Although AGI is a captivating concept in science fiction, its arrival is not imminent. The journey to AGI will be prolonged and fraught with challenges. We will explore this practical and realistic path in detail.
It is essential for business leaders and technologists to grasp the direction in which AI is heading. We will outline one of the most likely trajectories over the coming decades, as AI becomes integral to all systems and operations. AI is set to become a utility, akin to electricity and water, but there remains a significant journey of complex development to traverse before reaching that milestone.
The Path to AGI serves as a comprehensive reference and guide for those intrigued by the various forms of AI and how these forms will intertwine and evolve into one of the most impactful technologies in history.
John Thompson’s “The Path to AGI” meticulously unravels the past, present, and future of artificial intelligence with both pragmatism and precision. It is an essential resource for business leaders aiming to comprehend the genuine capabilities, applications, and future directions of AI. Drawing on decades of experience in analytics, John navigates the Four Eras of AI, providing a roadmap to understanding the context behind today’s AI revolution and the extensive journey to achieve true Artificial General Intelligence. Whether you’re an industry leader, a technology enthusiast, or merely curious about AI’s impact on the future, The Path to AGI is a mandatory read. Thought-provoking, methodical, and compelling, this book not only acts as a useful reference but also serves as a guiding star for those traversing the ever-shifting landscape of AI.
Thomas Robinson, Chief Operating Officer, Domino Data Lab
This book caters to both those well-versed in AI development and novices just embarking on their journey in the field. In straightforward, narrative prose, it captures the evolution of AI and its future direction. This is a book I would recommend to students aspiring to be future leaders in AI.
Cliff Lampe, Associate Dean for Academic Affairs at the University of Michigan School of Information
Writing a book on the path to artificial general intelligence is a daring endeavor, yet John Thompson embraces the challenge. He candidly addresses what lies ahead in analytics, AI, data, and their wider implications for business and society. I have consistently found his predictions to be either accurate or sufficiently near to be insightful and enlightening. Even if you believe that perfecting and assembling all these AI capabilities to realize AGI will take decades, it’s crucial to engage deeply with the subject. Reading this book is an excellent starting point.
Thomas H. Davenport
Distinguished Professor, Babson College
Fellow, MIT Initiative on the Digital Economy
Visiting Professor of Leadership, Brown University
Author of All In on AI, Working with AI, Only Humans Need Apply, The AI Advantage
Publisher : Technics Publications, LLC
Publication date : February 26, 2025
Language : English
Print length : 416 pages
ISBN-10 : 1634627016
ISBN-13 : 978-1634627016
Item Weight : 1.23 pounds
Dimensions : 6 x 0.94 x 9 inches
Best Sellers Rank: #561,096 in Books (See Top 100 in Books) #18 in Generative AI #128 in Artificial Intelligence Expert Systems #636 in Artificial Intelligence & Semantics
Customer Reviews: 5.0 5.0 out of 5 stars 39 ratings var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
