From Data Chaos to Governed AI Insight: A Customer Story

When a global software company completed more than a dozen acquisitions, it inherited a problem most enterprise teams know well: every new business came with its own reporting stack, its own quirks, and its own limitations. The result was a fragmented analytics environment that was difficult to manage, harder to trust, and impossible to scale. Join us to hear how this organization transformed its data and analytics landscape using embedded analytics and agentic intelligence and why the two solutions are more powerful together. Because they were already an embedded analytics customer, the team had agentic intelligence live in under an hour. What followed was a consolidation of disconnected reporting tools into a single, streamlined solution—one that reduced support tickets, gave business leaders granular visibility through intuitive dashboards, and gave teams confidence that AI-generated insights were grounded in verified data. In this session, you'll learn

• How embedded analytics and an AI semantic platform work together to turn trusted data into governed AI-powered insights

• Why a semantic layer isn't just a nice-to-have, it's the difference between AI you can audit and AI you can't trust

• What a real deployment looks like, from onboarding to measurable business impact

If you're managing complex data environments or evaluating how AI fits into your analytics stack, this session will show you what's possible when your tools are built to work together.