The Ghost of OLAP Aggregations – Part 2 – Aggregation Manager

This is Part 2 of a 3-part series where I make the case that pre-aggregated OLAP is essential in this era of AI. The intent of this post is to describe just enough of how a pre-aggregated OLAP engine works for those who are unfamiliar with this technology: Those who have joined the business intelligence … Continue reading The Ghost of OLAP Aggregations – Part 2 – Aggregation Manager

Outside of the Box AI Reasoning with SVMs

The phrase “thinking outside the box” traces back to a deceptively simple puzzle: nine dots arranged in a 3×3 grid. The challenge is to draw four straight lines through all the dots without lifting your pencil. Most people fail at first because they instinctively keep their lines inside the square boundary implied by the dots. … Continue reading Outside of the Box AI Reasoning with SVMs

The Ghost of OLAP Aggregations – Part 1 – Pre-Aggregation

If your entry into the business intelligence (BI) game began after around 2010, it could be difficult to appreciate the value of OLAP cubes (referring mostly to SQL Server Analysis Services MD, ca. 1998-2010), those aggregations, and that MDX query language. In fact, you may have a negative impression of those relics, those "cubes", based … Continue reading The Ghost of OLAP Aggregations – Part 1 – Pre-Aggregation

BI-Extended Enterprise Knowledge Graphs

Enterprise Intelligence and Time Molecules link through the Tuple Correlation Web. Introduction The main takeaway of this blog is an explanation of how my two books, Enterprise Intelligence (June 21, 2024) and the more recently published Time Molecules (June 4, 2025), connect. Time Molecules is a follow-up to my first book, Enterprise Intelligence. It connects … Continue reading BI-Extended Enterprise Knowledge Graphs

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

Closer to Causation – Prolog in the LLM Era – Spring Break Special

Welcome to the Prolog in the LLM Era Spring Break Special! Starring ... decoupled recognition and action ... event streaming ... correlation doesn't imply causation ... and our special guest star ... Deductive Time Travel!!! Notes before diving in: Please see Part 1 in the series for background on Prolog if you're not familiar with … Continue reading Closer to Causation – Prolog in the LLM Era – Spring Break Special

Beyond Ontologies: OODA Loop Knowledge Graph Structures

Introduction: Structuring OODA Loop for Real-World Decision Intelligence Decision-making isn’t just about research—it also involves adapting to change faster than the competition, seizing what can be ephemeral openings for opportunity. The OODA loop—Observe, Orient, Decide, Act—is a well-known model for this, originally developed for military strategy but applicable everywhere from business intelligence to AI-driven automation. … Continue reading Beyond Ontologies: OODA Loop Knowledge Graph Structures