Elastic: The data platform bet: What separates AI winners from the 40% that fail

Most financial services companies aren't losing the AI race because of underperforming models. They're losing it because the right data can't get to those models fast enough.

Data lakes hold history but can't serve it fast. CRM and workflow tools manage processes but don't unify what's underneath. The result: AI that's slow, incomplete, and hard to trust in regulated environments.

This webinar breaks down what a unified data platform does differently — and what it takes to get the right data to the right model, at the right time, without creating compliance risk.

In this session, we'll cover:

• Why most AI projects in financial services stall at the data layer — not the model layer
• What a unified data platform does that a data lake or workflow tool can't
• How to make progress on AI even when you're working with legacy systems and multiple schemas