Tag: technology

Thinking Reliably and Creatively – Prolog in the LLM Era – Summer Vacation Special

Welcome to the Prolog in the LLM Era Summer Vacation Special! Starring … Prolog ... knowledge graphs ... ChatGPT o4-mini ... neuro-symbolic AI ... and our special guest ... Thinking Fast and Slow! In this episode (Part 11 of the series), I wish to address how neuro-symbolic AI relates to this series. After all, the series title, Prolog … Continue reading Thinking Reliably and Creatively – Prolog in the LLM Era – Summer Vacation Special →

Analogy and Curiosity-Driven Original Thinking

Original thinking doesn’t spring from a void. It’s the meticulous art of forging a path to a solution where none yet exists, of stitching together lessons from far-flung domains to carry us from where we are to where we wish to be. In everyday life, we rely on zero-sum games—win or lose, right or wrong—yet … Continue reading Analogy and Curiosity-Driven Original Thinking →

Thousands of Senses

In this mind-bogglingly complex world in which we live—countless moving parts fraught with imperfect information of many types—a versatile highly-functioning intelligence requires quick access to a wide variety of information in order to make intelligent decisions. It's not that all decisions should be made from that full breadth of information. It's that all decisions are … Continue reading Thousands of Senses →

From Data through Wisdom: The Case for Process-Aware Intelligence

My new book, Time Molecules, is available!! This is its launch-day blog (June 4, 2025)! Time Molecules is a book about bringing process awareness to business intelligence (BI). Traditional BI flattens reality into snapshots— scalar values, points of information— leaving us staring at dimensionally flattened shadows on a wall. But life unfolds over time, and … Continue reading From Data through Wisdom: The Case for Process-Aware Intelligence →

Sneak Peek at My New Book—Time Molecules

This is a sneak peek of my upcoming book, Time Molecules: The BI Side of Process Mining and Systems Thinking—to be published in the May-June 2025 timeframe. I’ve long been fascinated by systems thinking, ever since reading The Fifth Discipline, Peter Senge, when it was first released. The idea that complex systems behave in ways … Continue reading Sneak Peek at My New Book—Time Molecules →

The BI Counterpart to AI Infinite Context

This post maps the ideas in the recent paper Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention (Munkhdalai, T., Faruqui, M., & Gopal, S. 2024) to concepts from my book, Enterprise Intelligence, including the Tuple Correlation Web (TCW), Insight Space Graph (ISG), and cubespace as a semantic layer. In business intelligence (BI) and … Continue reading The BI Counterpart to AI Infinite Context →

Deductive Time Travel – Prolog in the LLM Era – Thanksgiving Special

The content discusses the significance of historical context in learning and decision-making, emphasizing the value of Prolog as a tool to understand complex logical rules over time. It explores how expert knowledge and decision-making evolve, and how modern technology can facilitate the integration of historical insights into artificial intelligence, enabling enriched decision-making today.

Charting The Insight Space of Enterprise Data

This blog advocates investing time in the foundational book "Enterprise Intelligence," emphasizing its painless approach to developing an integrated understanding of business intelligence. It elaborates on the book's themes, including BI's role in transformative AI, the Insight Space Graph, and the Tuple Correlation Web. The book is detailed and offers a 25% discount for readers.

AI Winter? Bad or Good Timing for My Book?

The author recounts the challenges of pitching a product during the dot-com bubble burst, paralleling it with current skepticism towards AI. Despite the doubts, the book "Enterprise Intelligence" argues that AI, though not without flaws, can greatly enhance enterprise analytics. It emphasizes a balanced approach and offers practical knowledge for leveraging AI in business.