KScope26 Reflections: Essbase, AI, and the Modern Lakehouse | autonomous-ai-database

You bought the AI tool. Nobody used it. $200/month quietly canceled three months later. You're not alone — and you're not the problem. Here's what the Oracle database conference circuit just confirm

You bought the AI tool. Nobody used it. $200/month quietly canceled three months later.

You're not alone — and you're not the problem.

Here's what the Oracle database conference circuit just confirmed: even the most sophisticated enterprise analytics teams are still figuring out how to connect their planning data, operational data, and external data into something AI can actually use. This isn't a small-business problem. It's an everyone problem.

The real insight? AI doesn't fail because you picked the wrong tool. It fails because the data feeding it has no context. Garbage in, garbage out — no matter how expensive the platform.

What this means for you practically: before buying anything new, spend 30 minutes listing the one business question you answer manually every week. Revenue forecasting. Churn signals. Inventory gaps. That single question is your AI starting point — not a platform, not a strategy overhaul.

One question. One data source. One answer automated. That's a win you can measure inside 30 days without touching systems that already work.

The tech industry loves to sell you the whole lakehouse. You just need the one faucet that solves your actual problem.

What's the one manual report or decision your team makes every week that you wish just happened automatically?

#AIStrategy #SmallBusiness #BusinessOperations #AIImplementation

Original Source

... integration, AI-ready semantic context, or analytics that span planning, operational, and external data. The key takeaway: the modernization ...