Category: Artificial Intelligence

Latest Read: Digital Wellbeing

Post author By Don Kasprzak
Post date October 18, 2025

Digital Wellbeing: Empowering Connection with Wonder and Imagination in the Age of AI by Caitlin Krause.

Caitlin holds a MFA in Creative Writing from Lesley University. She is the Founder of Mindwise and teaches courses on digital wellbeing, technology, and storytelling at Stanford University. She has also advised Google, LinkedIn, the US State Department on leadership and experience design.

Instead of viewing technology as the typical “necessary evil” to avoid where possible, Caitlin conveys a position that digital tools can be amazing resources for human growth when implemented with positive intention.

Digital Wellbeing presents readers with the innovative notion that technology needs alignment and enrichment. Caitlin shares the idea of a “Digital Wonder” suggesting that in the age of Artificial Intelligence that we all have an opportunity to use technology to expand both inner and outer connections. There is a unique view that we leverage the new advancements in technology to bolsert our humanity.

Tags Artificial Intelligence, Caitlin Krause, Digital Wellbeing, Innovation

Artificial Intelligence Education Reading

Latest Read: Agents in the Long Game of AI

Post author By Don Kasprzak
Post date April 12, 2025

Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI by Marjorie McShane, Sergei Nirenburg, and Jesse English.

Marjorie McShane is a cognitive scientist and computational linguist known for her work on cognitively inspired, trustworthy AI systems that can collaborate with humans in natural language. She is a professor in the Cognitive Science Department at Rensselaer Polytechnic Institute (RPI) and co-directs the Language-Endowed Intelligent Agents (LEIA) Lab.

Sergei holds a PhD in Linguistics from the Hebrew University of Jerusalem and an M.Sc. in Computational Linguistics from Kharkov State University. Jesse holds a PhD in computer science, with a focus on language understanding from Rensselaer Polytechnic Institute. He is a senior researcher in the LEIA Lab, leading the development of content-centric intelligent agent architecture.

Together they work in related areas: knowledge-rich natural language processing, cognitive architectures, and language-endowed intelligent agents,

AI has relied traditionally on machine learning. The position by the authors is that for over thirty years machine learning development, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI: that is, AI that combines ML with knowledge-based processing.

Tags Agents in the Long Game of AI, ai agents, Artificial Intelligence, computational linguist

Artificial Intelligence Education Innovation Reading

Latest Read: The Innovator’s Solution

Post author By Don Kasprzak
Post date March 26, 2025

The Innovator’s Solution, with a New Foreword: Creating and Sustaining Successful Growth by Clayton M. Christensen and Michael E. Raynor.

Clayton holds a BS in economics from Brigham Young University. He was awarded a Rhodes Scholarship and spent two years studying applied econometrics at Oxford University. He also holds a MBA and PhD in Business Administration from Harvard University. Michael holds an BA in Philosophy from Harvard, an MBA from Western University in London, Ontario Canada, and a DBA from Harvard.

Even in the age of AI’s disruption, as noted by Rudyard Kipling, “Funny how the new things are the old things.” Time and again, I frequently find lessons so well presented, they can easily be adapted to other fields or circumstances. At its core, AI is fundamentally about using technology to create new value as every organization is seeking new growth channels regardless of marketplace.

In our new AI-driven era, Rudyard Kipling’s words ring true: “Funny how the new things are the old things.” As I read books from various fields, I continually encounter well-crafted lessons that, while seemingly fresh, often serve as bridges connecting insights from one field or event to another.

Clayton Christensen’s simply amazing 1997 bestseller, The Innovator’s Dilemma, introduced readers to the groundbreaking idea of disruptive innovation. He demonstrated how even respected companies and organizations can do everything right and yet still lose market leadership.

Tags Artificial Intelligence, culture, Education, Innovation, tipping point

Artificial Intelligence Education Innovation Reading

Latest Read: Decision-Driven Analytics

Post author By Don Kasprzak
Post date March 19, 2025

Decision-Driven Analytics: Leveraging Human Intelligence to Unlock the Power of Data by Bart de Langhe and Stefano Puntoni.

Stefano holds a MSc in Statistics and Economics from the University of Padova and a PhD in Marketing from the London Business School. Today Stefano is a Professor of Marketing at The Wharton School, University of Pennsylvania and Co-Director, AI at Wharton.

Bart holds a MA in Psychology, from KU Leuven in Belgium and a PhD in Marketing, Rotterdam School of Management, Erasmus University in the Netherlands. Today he is Professor of Marketing at KU Leuven.

I certainly found this a must-read for anyone seeking to understand and leverage the power of AI data for competitive advantages. In a broad stroke the book shows how companies today have so much data at their fingertips, yet many executives and organizations fail to extract any true value from it.

They introduce a new framework called “decision-driven analytics”. In fact, this approach emphasizes the integration of human intelligence and judgment with data analytics to improve business outcomes. The book outlines four pillars of decision-driven analytics and identifies common pitfalls that organizations face when trying to leverage data effectively.

Tags analytics, Artificial Intelligence, Bart de Langhe, Decision-Driven Analytics, Stefano Puntoni

Artificial Intelligence Education Innovation Reading

Latest Read: What To Do When Machines Do Everything

Post author By Don Kasprzak
Post date February 28, 2025

What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data by Malcolm Frank, Paul Roehrig, and Ben Pring.

Malcolm holds a BA in Economics from Yale University. He is the former Chief Strategy Officer and Chief Marketing Officer of Cognizant Technology Solutions.

Paul holds a BS in journalism from the University of Florida and Doctor of Philosophy from Syracuse University. He was a Principal Analyst at Forrester Research and Global Managing Director of Cognizant’s Center for the Future of Work. Today he his Chief Strategy and Marketing Officer at Ascendion.

Ben holds a BA in Philosophy from the University of Manchester UK. He is a former Vice President at Gartner and Vice President, Head of Thought Leadership, and Director at Cognizant Technology Solutions.

There are few books that made an immediate impact upon reading them. This is one such book and I highly recommend this to anyone working or striving to understand the role of AI that is transforming the world today.

Tags ai agents, algorithms, Artificial Intelligence, Ben Pring, Innovation, Malcolm Frank, Paul Roehrig, tipping point, What To Do When Machines Do Everything