REAL Talk With Sam Holcman

What has your team been able to hand to a business leader from your TOGAF or other enterprise architecture work, that they could read and make a strategic decision from, without an architect in the room to explain it?" That question almost always surfaces the gap EACOE is built to fill.

Why Record Numbers of Enterprise Architects and Business Architects Are Still Failing Stakeholders The enterprise architecture and business architecture professions face a disturbing paradox. With certifications surpassing 100,000 worldwide and the architecture market valued at $1.44 billion, we have never had more certified practitioners. Certified professionals commanding 25% higher salaries. Th...

The InfoWorld article “Small language models: Rethinking enterprise AI architecture” argues that as large language models (LLMs) hit limits of scale, cost, and risk, enterprises are shifting toward small language models (SLMs) that are faster, cheaper, and more private for well-defined, repetitive tasks. It highlights three primary advantages: division of labor between small and large models, radi...

Ford’s new electric truck program is being called its “Model T moment” – not because it’s just another vehicle, but because Ford is tearing up a century of manufacturing practice to build something fundamentally different. In doing so, they have replaced the traditional assembly line with what they call an “assembly tree”: a modular way of building that uses far fewer parts, far less complexity, a...

Enterprise Architecture and Business Architecture are at the same inflection point that software engineering has reached. When a field confuses vocabulary for competence, titles for capability, and exams for professional readiness, it creates a class of certified people who can describe the work without being able to do the work. That model is no longer good enough. The next era of Enterprise Arch...

Enterprise Architecture (EA) and Business Architecture (BA) have moved decisively toward the center of enterprise transformation in the last 30 days, especially as organizations try to operationalize AI at scale. Recent market and thought-leadership signals show a clear shift away from architecture as static documentation and toward architecture as a business decision capability focused on speed,...

In a recent CIO article, by Martin De Saulles, “How effective are semantic hubs in moving agentic AI forward?” the authors argue that semantics are now the backbone of enterprise AI, especially as organizations rush to deploy agentic AI systems at scale. They highlight a critical shift: the challenge is no longer just moving and storing data but ensuring that data means the same thing wherever and...

This topic is one that should sound familiar to anyone who has been around enterprise architecture, transformation, or banking, as one example, for more than a few years: everything old is new again. The latest version of the old story is being told through “purchased models,” “off-the-shelf ontologies,” and what some are now calling the semantic operating system for banking, as one example. Buyin...

There is a lot of noise right now about Artificial Intelligence (AI) strategy, and one phrase you have probably heard is this: “Your AI strategy will fail if you do not fix your data debt.” Now, there is truth in that. Years of fragmented systems, inconsistent definitions, and patchwork reports really are catching up with us. AI will expose every weakness you have buried in your data. But if you t...

I want to talk about legacy thinking. Not old thinking. Not wrong thinking. But thinking that was right - sometimes brilliantly right - and then calcified into doctrine. Look up at the sky. Something remarkable just happened in space. Blue Origin flew New Glenn - their massive, orbital-class rocket - for the third time. And they flew it on a booster they already landed and refurbished. The same fi...

Organizations are learning a costly lesson: AI does not fail first because of the model; it fails because of the data foundation beneath it. More than half of generative AI projects were abandoned after proof of concept by the end of last year, largely because organizations lacked the data readiness required to move from controlled pilots into production environments. This is precisely why EACOE m...

Let us be honest - most Enterprise Architects and Business Architects start the day the same way. You roll out of bed, scroll through overnight emails, open at least six tabs of frameworks you will only partially read, warm up yesterday’s coffee because the meeting starts in five minutes, and think… Maybe today I will finally fix that capability model. Because let us face it - every good architect...

CIOs are under intense pressure to harness AI to drive efficiency, innovation, and competitive advantage - but as a recent CIO article states on reimagining business processes makes clear, the first step is not to “automate faster,” but to rethink how work actually happens before a single model is deployed. In this context, the EACOE Process Visualization approach emerges as a best‑practice method...

If your AI and analytics investments still feel like disconnected projects instead of an enterprise capability, this episode of Real Talk with Sam Holcman shows how Palantir quietly turned ontologies into a strategic moat - and how the same ontology‑driven principles behind EACOE and BACOE can turn your architecture into an execution engine for real business outcomes.

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 architectur...

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...

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,...

Many CEOs excel in vision, leadership, and financial acumen - yet remain only vaguely familiar with the disciplines of Enterprise Architecture (EA) and Business Architecture (BA). They hear the words. They see the frameworks. But they do not always connect with the business value that drives strategy, change, and decision-making. That gap can be dangerous.

Enterprise Architecture (EA) is shifting decisively from theory-heavy, exam-driven certification to demonstrated, practice-based competence that delivers measurable business outcomes. In: Practitioner-based paths that validate portfolios, scenarios, workshops, and demonstrable outcomes - certifying that you can architect, not just that you can pass an exam. Out: Credentials earned solely by scorin...

Organizations have been stockpiling data for years, expecting that one day it will become a strategic asset. With generative AI, that moment has arrived - but without disciplined data practices, the promise quickly turns into frustration. The differentiator is no longer access to powerful models; it is the ability to shape, govern, and trust the data that feeds them, which is exactly the gap the A...

Let us start with the uncomfortable truth: large language models - ChatGPT, Gemini, Claude, Perplexity, and their peers - are built on a foundation that looks suspiciously like “copyright infringement as a service.” These systems could not exist without consuming massive quantities of human-created text, images, and code. In another industry, that would be called derivative work. In AI, it is call...

Business Architecture (BA) is undergoing the same transformation: away from framework-centric, multiple-choice exams and toward practitioner-based competence proven through real work, with BIZBOK/CBA®-style certification as a well-known example of the older model, not the only one.

There is something absurd happening in enterprise architecture and business architecture today, and it is time we called it out. People are passing multiple-choice exams… or cramming through a sixteen-hundred-page framework manual, and then being told, Now, go modify it. Customize it for your organization. Modify it? Before you have ever used it? Based on what? That is not mastery. That is madness...

Most EA principles sound good but do not change a single decision because they are not testable. To make them real, convert each principle into a SMART goal plus 1–3 hard metrics.  Now you can wire that into governance (architecture reviews, portfolio decisions, roadmaps) and report progress quarterly. At that point, it stops being a poster on the wall and becomes a scoreboard the business can hol...

This Broadcast is a review and analysis of the Jan 22, 2026 - by Koenraad Schelfaut and Andrew Long CIO Article titled How to get your enterprise architecture ready for agentic AI.  This article misses the central - and fatal - flaw in its reasoning: it assumes that enterprise data is reliable enough to empower agentic AI when, for most organizations, it is not.  A concise 90-day, EACOE EA-anchore...