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12 Jul Anatomy of Insight: Prediction and Qualitative BI

Anatomy of Insight

Not just any body Body is a versatile word as it has broad application. In the context of astronomy, we describe celestial bodies. In topographical mapping, there are bodies of water. But in my interactions, I most often encounter “body” in the context of human physiology. The word, “body” implies both clearly defined limits (i.e. […]

02 Jul What’s in an EA Repository

EA Intranet

Understanding context of systems and data in an enterprise is essential for successful IT project alignment and portfolio simplification. Enterprise architecture frameworks such as Zachman, Archimate and TOGAF provide great mechanisms for documenting systems and data, and architecture diagrams are often worth much more than a thousand words. But what good are documents unless the […]

21 May What it Means to Be, and Why AI Needs to Know

Semantic Primitives

Interaction between humans is intricate, intimate and beautiful. Good conversations are like dances and can leave one feeling fulfilled and whole. I have long wanted to build a system that can verbally dance with you. Even longer, one to rapidly translate what you say with high accuracy into any number of other languages, enabling cross-cultural dances. […]

04 Jul Cognitive Multi-Processing

Layered Model

Today I’ll address parallel computing and models for breaking down computational problems. I will not address the question of autonomy today, but save the question of empowering independent agents for a future post. ANS and Multiprocessors Artificial Neural Systems (ANS) are probably the closest approximation of the mechanical brain paradigm, so it is useful to know how […]

07 Dec Curating Digital Meaning


I think of museums when I hear about curating. Meaning is, in a strange way, an artifact, simultaneously ancient and modern. Meaning has existed as long as perception has existed in the most rudimentary forms of life. For the purposes of my blog, I define meaning as: “the fruit of understanding and the fuel of […]

30 Nov Architecting Meaningful Relationships


How do you know — anything? Chemicals and electrical impulses splash around in the brain, and voila: we understand the meaning of life, the universe and everything. We have looked at how synapses connect neurons, and how taxonomical and other associations connect concepts, but is it even possible for a computer to understand the complex […]

20 Oct High 5s of Intelligent Information Modeling

Converged Canonical Model

Quantitative data is easy to make into useful information by establishing correct associations and providing human experts with the right slicing and dicing tools. But in its native format, data is not independently meaningful. Many qualitative content sources are narrative, born as whole information. Such content is advanced beyond data because of the built-in associations, but inevitably more difficult for machines to […]

05 Sep Fuzzy Idea Wars in Always Never Land

Fuzzy Brain

Trusted Rx How should a digital device answer a “Should I…” question? “Should I put on my left shoe first, or my right?” “Should I take the alternate route to avoid traffic? “Should I get a more fuel-efficient automobile?” “That stock price is lower, so should I buy now, or is the market likely to slide […]