If you are a CIO, CTO, or Architecture Manager, you are already paying an “architecture tax” you never approved.

It shows up as overlapping platforms, programs that cannot finish, and “strategic” projects that quietly die after burning millions. The surprising culprit: ten everyday EA/BA words that your organization thinks it understands - but does not.

When these words are fuzzy, your architecture is fuzzy. And fuzzy architecture is expensive.

In both EACOE enterprise architecture and BACOE business architecture, ontology is the backbone: it tells us what kinds of things exist in the enterprise, how they relate, and how those meanings stay consistent as we automate, integrate, and apply AI.

Today, that makes ontology not just a theoretical idea, but one of the most valuable, underused skills in the AI job market – and a critical success factor for serious Enterprise Architecture and Business Architecture work.

What an Ontology Really Is: Kinds of Things Together and Their Relationships In information and computer science, an ontology is a formal description of knowledge in a domain – the kinds of things (concepts/classes) and the relationships between them. It is more than a glossary; it is a structured model of meaning that both humans and machines can use.

Welcome to Real Talk with Sam Holcman - where we stop confusing activity with progress and start talking about how businesses actually work.

Today I want to talk about something touchy in the Business Architecture world: the difference between belonging to a club and practicing a discipline. Specifically, the world of the Business Architecture Guild® and its BIZBOK® Guide on one side… and BACOE, the Business Architecture Center Of Excellence, on the other.

We are living in an age of endless low‑quality information and recycled self-declared “best practices.” Framework tourists. Certification logos with no delivery record. 1,600‑page manuals that need another 800 pages just to implement, and most recently, another rambling set of explanations on the explanations!

Your brain was not designed to drink from this firehose.

Critical Ignoring means fighting the instinct to “consume everything” and instead curating a very small set of sources.

Today’s Broadcast. Billions were wasted, companies bankrupted, and governments embarrassed - all because of something we take for granted: software.

This article is based on an outstanding article titled “Why Software Fails” by Robert N. Charette, in IEEE Spectrum, December 2025.

You have probably heard the old saying “software is eating the world.” But what happens when software eats itself?

We all know what makes artificial intelligence work is data. But how much do you know about the data that is being used in artificial intelligence? Whether it's a model that you obtained off of the Internet, a large language model, a small language model, or other sources. What is the quality of that particular data? Who actually owns the data? What context is the data coming from? Can you actually trust it? These and more questions are outlined in this episode of Real Talk with Sam Holcman. Stay tuned and think about these things after the broadcast, in your own context.

Operations Evaluation and Optimization – something we have been doing for over twenty years with our clients. First Process, then Technology, and then People – this order is important. Starting with headcount reduction does not address the Root Cause – inefficient processes. Process Visualization is the key to Root Cause understanding, and optimizing the whole.

This somewhat extended broadcast of Real Talk brings forward the fundamental truth facing success use of AI – most organizations data is not at all ready for use in AI (or for that matter, decision making outside of AI). You will hear a bit of sarcasm in my voice, and at the end, yes a commercial on how to actually build a quality data environment. Wishing it were not true, will not make it so.