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Category Core Technology

21/08/ 2026
AI Is Starting to Look Like Cryptocurrency

Remember when cryptocurrency meant Bitcoin? Then Ethereum came along. Before long, there were thousands of cryptocurrencies. Some had a clear purpose. Some filled a niche. Some disappeared almost as quickly as they appeared. I think artificial intelligence is following a similar path. Not because AI is another investment craze, but because it’s no longer one thing. A few years ago, “AI” was almost a single product in most people’s minds. Today, there are dozens of major models, each with different strengths. Building a custom AI agent for a…

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14/08/ 2026
Why Most AI Assistants Fail on Company Data (And It Isn’t the AI)

Every AI demo starts with the model. Every successful AI deployment I’ve worked on eventually becomes a data project. That wasn’t obvious to me at first. Like a lot of people, I started by building a Microsoft Copilot Studio agent and pointing it at our business documentation. It didn’t take long before I had something that looked impressive. Ask it a question, get an answer. It felt like one of those moments where you think, “This is going to change how people work.” Then we let real users…

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07/08/ 2026
Your Warehouse Is the Index the API Won’t Give You

A pull I had run cleanly for months started dying. Same endpoint, same code, same credentials. It would page through tens of thousands of AP registered invoices and then, somewhere north of 19,000 records, fall over. The frustrating part was the consistency. It did not fail randomly. It failed at the same place every time. That consistency turned out to be the whole story. By the time I was done, the ceiling had moved on me twice, and the most dangerous version of the failure was the one…

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05/08/ 2026
Article V — Human Intelligence and texlytics Intelligence Systems

The texlytics Charter Series The Multiplication Principle Artificial intelligence is changing the way organizations work. Too often, however, the conversation begins with the wrong question. “How can AI replace this person?” At texlytics, we believe there’s a better question. “How can AI multiply this person’s impact?” People possess qualities that technology cannot replicate. Intelligence Systems possess strengths that people cannot match. The future isn’t choosing one over the other. The future is designing systems where each contributes what it does best. Our Guiding Question Before recommending any Intelligence…

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31/07/ 2026
Don’t Buy Technology. Solve Problems.

A recent conversation on LinkedIn with Enterprise Systems & Data Architect Iosiv Popescu inspired this article. During a discussion about data migrations, he made an observation that stayed with me long after the conversation ended: “The business meaning never changed; only the source did.” The more I thought about that statement, the more I realized it applies to far more than data architecture. It applies to the way many organizations approach technology itself. For years, I’ve watched companies begin major initiatives by talking almost exclusively about software. The…

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24/07/ 2026
The Dedupe Key That Doesn’t Drift

This article was originally published on LinkedIn and is archived here on texlytics.com. There is a reflex every data engineer has when they need to deduplicate rows: hash the row, compare the hashes, keep one of each. It is fast, it is simple, and on a well-behaved source it is correct. I reached for it without thinking when I built the ingestion for one of our CMiC AP voucher endpoints. It was the wrong call, and the way it failed is worth writing down, because the lesson holds…

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17/07/ 2026
The 95-Minute Notebook

This article was originally published on LinkedIn and is archived here on texlytics.com. The symptom Our Bronze ingestion notebook on Microsoft Fabric had a runtime problem. The notebook pulls incremental changes from CMiC’s REST APIs into a lakehouse on a 15-minute cadence — dozens of endpoints, all driven from a single control table. The kind of thing that should finish in a few minutes. It was taking 95. Here’s what made it interesting: the Python wasn’t slow. The API calls came back quickly. The filtering and dedupe logic…

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10/07/ 2026
The Most Important Table in My Microsoft Fabric Environment

This article was originally published on LinkedIn and is archived here on texlytics.com. Most data engineers love talking about pipelines. Others love talking about notebooks, Spark, semantic models, or dashboards. But after building a near-real-time Microsoft Fabric integration framework that ingests dozens of CMiC endpoints every fifteen minutes, I’ve come to a different conclusion: The most important object in my entire environment isn’t a pipeline. It’s a table. Not a fact table.Not a dimension table.A control table. What started as a simple metadata repository evolved into the operational…

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