Palantir's Real Secret Sauce - Ontologies
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.
Today I want to do something unusual.
I want to say “thank you” to Palantir - yes, that Palantir - for finally saying aloud, in very public terms, what we at EACOE and BACOE have been saying, teaching and practicing for decades.
A recent article titled “Palantir’s Real Secret Sauce - Ontologies” lays it out very clearly.
It explains that for more than a decade, the data industry has obsessed over data quality, governance, lineage, catalogs, and ownership - all important topics - but missed the central point: clean, governed data is still inert unless the system understands what that data actually represents in the real world.
Not just rows and columns, but things in the world – things of interest to the business - people, accounts, vehicles, facilities, transactions – all requiring precise naming and definitions, and how they relate, what is allowed, what is forbidden, and how those things change over time.
In other words: schemas describe data; ontologies describe reality.
Palantir openly says they did not start as a dashboards company or an analytics company; they started as a world‑modeling company.
While everyone else was racing to dump more data into lakes and clusters, Palantir asked the question EACOE and BACOE have been asking for over fifty years in enterprise architecture and business architecture:
What are the real entities in this domain, how should they be represented, and how do they relate?
They built their core around an operational model of reality - entities, relationships, constraints, state transitions - and they made that ontology the system, not just a thin layer on top.
So Palantir, sincerely: thank you for saying it plainly and loudly. Meaning precedes intelligence.
The Bridge to EA, BA, and AI
Now let us connect this to where you live: enterprise architecture, business architecture, and AI models.
The article points out that early big data systems “worked” because they were retrospective, batch‑oriented, and human‑in‑the‑loop - the meaning lived in people’s heads, not in the system.
That world is over. We are moving to agentic systems - systems that do not just analyze data, but take actions, call tools, trigger workflows, allocate resources, and make decisions at machine speed.
And the article is blunt: when you try to build these agentic systems without an ontology, you get hallucinated actions, what we more accurately, referred to as fabrications, misused tools, fuzzy safety boundaries, and coordination that collapses into what they brilliantly call “prompt spaghetti.”
Palantir’s answer is that their agents are constrained by the ontology - actions are only valid if they correspond to legitimate state transitions on real entities.
That is exactly the kind of disciplined, ontology‑driven thinking that R.E.A.L. EACOE Enterprise Architecture and BACOE Business Architecture have required all along.
Father versus Son Framing
So, here is the question for you, the listener, and reader.
If Palantir is the “son” born in 2003 - a Millennial / Gen Z successful, powerful, highly visible child of this ontology‑centric worldview - do you want to learn from the child who is using the ideas, or from the father who has been formalizing, teaching, and applying those ideas across industries for decades? Since EACOE and BACOE best practices are not published on the internet, and is not AI accessible, does the child know none, some, or all of the real best practices? Of course, if you ask a Millennial / Gen Z person this question – the answer is always yes!
Palantir is proving, in the AI and data arena, that ontology‑driven design is not academic; it is the moat.
EACOE and BACOE are where you learn how to architect that moat for your entire enterprise and your business - not just inside one vendor’s platform.
If you are serious about AI models that do not hallucinate actions, about agentic systems that operate safely and coherently, about governance that is more than bureaucracy - you need the architectural discipline that comes from a true ontology‑based EACOE Enterprise Architecture and BACOE Business Architecture practice.
The Call to Action
So, I will leave you with this:
Palantir has done the world a favor by saying clearly: systems need a shared, explicit model of reality, and governance without ontology is just bureaucracy without physics.
If that resonates with you, and you want to move beyond catchy AI demonstrations and into sustainable, ontology‑driven enterprise and business design, then learn from the source.
Join us at EACOE and BACOE and learn, in a structured, practitioner‑focused way, how to actually define those Ontologies - entities, relationships, constraints, and state transitions for your organization - and then use that foundation to build trustworthy AI, robust EA, and practical BA. This learning is not about passing a multiple choice exam – it is about actually developing ontologies.
Question - Do you want to hear it from the horse’s mouth - the father - or from the child repeating some of what the father has been saying for years?
That choice is yours.
Thank you for listening or reading Real Talk with Sam Holcman. If you are ready to build the ontology‑driven foundation your AI initiatives desperately need, please reach out to us at www.EACOE.org, or www.BACOE.org for a no-fee discussion. It will be my pleasure to speak with you and let us get to work.
