Author: Kevin

  • Where SQL Server Meets AI: The Case for Hybrid Architecture

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    Part 4 in a series on evolving SQL Server environments into AI-ready architectures. Simply moving SQL Server to the cloud isn’t enough. Lift-and-shift migrations reproduce the same bottlenecks — often at higher cost. The friction between traditional platforms and AI workloads persists. The solution isn’t abandoning SQL Server. It’s placing workloads where they belong: a hybrid…

  • The Lift-and-Shift Migration Trap (and Its Hidden Costs)

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    Part 3 in a series on evolving SQL Server environments into AI-ready architectures. Once organizations recognize the architecture gap we discussed in a previous post, the natural instinct is often straightforward: “Let’s move the warehouse to the cloud.” Databases migrate. Pipelines move. Infrastructure changes. The environment is now technically modernized – cloud-based, scalable in theory, and…

  • The Architecture Gap Slowing Down Your AI Strategy

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    Part 2 in a series on evolving SQL Server environments into AI-ready architectures. In the previous article, we talked about a pattern many organizations are experiencing: AI initiatives begin with excitement… and then quietly stall. Not because the teams are weak.Not because the use cases are flawed. But because the underlying platform was never designed…

  • AI Isn’t the Problem – Your Platform Might Be

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    First in a series on evolving SQL Server environments into AI-ready architectures. I see it all the time. Strong SQL Server teams.Stable production systems.Clean governance. Then leadership says, “We need AI.” A pilot launches. A model shows promise. Excitement builds. And then progress slows to a crawl. Not because the team failed. Not because AI…

  • Blueprint for AI in Snowflake: How to Scale Intelligence Without Burning Down the Warehouse

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    Because “just add AI” is not a strategy. It’s a dare that can go very wrong. Let’s Recap the Tour Over this series, we covered: Now it’s time to tie it all together into something usable. Not hype.Not vibes.Not “AI transformation journey.” A blueprint. Cue This Must Be the Place (Naive Melody)Because if you’ve done this…

  • AI as a Junior Analyst (Part 2)

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    Because your AI didn’t ask for a promotion. It just took one. Last Time on “AI With a Laptop” In Part 1, we agreed: Now we’re gonna take this to the next level. Because once AI proves it can: It starts looking at you like: “So… am I ready for production access?” Easy there, champ.…

  • AI as a Junior Analyst: What to Delegate and What to Lock Away

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    Because even machines need their first job — and a stern manager. Note: Stern manager does not mean a micromanager. Why You Need a Junior Analyst, Not a Junior Dictator AI is like that eager intern you hired straight out of Hogwarts… if Hogwarts specialized in SQL and NLP. It can: But – and it’s…

  • AI Data Guardrails: Teaching Machines Where Not to Touch the Knobs

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    Because “move fast and break things” sounds a lot less cute when the thing you broke is Finance. The Problem Nobody Wants to Admit AI is great at writing SQL. Like… scarily great. It’ll: And then — if you’re not careful — it’ll politely ask: “Should I just run this in production?” That’s when you…

  • Human-in-the-Loop AI: When Your LLM Needs an Adult in the Room

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    AI is extremely fast.AI is very confident.AI will also look you straight in the eye and say, “Yes, this query is correct,” while quietly summing revenue twice and joining on vibes. This is where Human-in-the-Loop (HITL) comes in — the idea that sometimes, just sometimes, an actual human should be involved before AI does something……

  • AI Cost Control in Snowflake: Teaching LLMs Not to Burn Money Like It’s Venture Capital

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    AI is amazing.AI is powerful.AI will also happily spend your entire Snowflake budget in one afternoon if you don’t put it on a leash. Welcome to AI cost control – the phase of the journey where leadership stops asking “What can AI do?” and starts asking “Why did our credit usage look like a Motley…