Context Engineering and My Two Books

“Context engineering” is emerging as the evolutionary step over prompt engineering. It's the deliberate design of everything an AI system can access before it produces an answer. The goal is to make it work on the right problem, with the right facts, under the right constraints. That is, by mitigating "context drift" as the AI … Continue reading Context Engineering and My Two Books →

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 →

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 →

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 →

Prolog and Business Intelligence – Prolog’s Role in the LLM Era, Part 5

In the latest installment of "Prolog’s Role in the LLM Era," several key topics were covered. These include integrating Prolog with traditional OLTP and OLAP databases, the concept of MetaFacts and MetaRules, and the development environment necessary for executing the exercises. The episode emphasizes the potential for creating dynamic and intelligent systems by combining Prolog with various data sources and advanced reasoning techniques. Through these integrations, real-time decision-making systems can be developed for optimized data processing and logic application, laying the groundwork for a distributed and scalable AI framework.

Enterprise Intelligence: Integrating BI, Data Mesh, Knowledge Graphs, Knowledge Workers, and LLMs

In today's rapidly evolving data analytics landscape turbo-charged by AI, businesses require an informationally-scalable infrastructure. "Enterprise Intelligence" offers a comprehensive framework integrating modern advancements like data mesh, knowledge graphs, and Large Language Models. The book addresses governance issues, providing a robust foundation for decision-making in an AI-driven world.

The Role of OLAP Cubes in “Enterprise Intelligence”

In the pursuit of data-driven excellence, quick and well-informed decision-making is crucial for enterprises. Online Analytical Processing (OLAP) facilitates this by enabling rapid analysis of multidimensional data. Despite challenges from big data and cloud technologies, OLAP's role has resurged in managing vast data volumes, supporting complex analysis, and bridging structured and unstructured data for enterprise intelligence.