Sherpa of Data

Tag: Snowflake

  • Most AI Initiatives Don’t Fail for the Reason You Think

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    Kevin
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    Over the past few weeks, I’ve been writing about a pattern I’ve seen across a lot of data platforms: AI initiatives start strong… and then stall. Not because of talent.Not because of tooling. Because of architecture. Across different organizations, the pattern is surprisingly consistent: In fact, they’re the default path for many teams. But when…

  • From Legacy to AI -Ready: A Practical Modernization Roadmap

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    Kevin
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    Part 5 in a series on evolving SQL Server environments into AI-ready architectures. Once organizations recognize the architectural gap between traditional platforms and AI workloads, and understand why lift-and-shift migrations fall short, the next question becomes practical: How do we move forward without disrupting the systems that already work? For most teams, the answer isn’t…

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

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    Kevin
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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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    Kevin
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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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    Kevin
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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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    Kevin
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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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    Kevin
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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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    Kevin
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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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    Kevin
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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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    Kevin
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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…