Why AI Needs BI: What to Get Right Before You Roll Out LLMs | Dashboard Effect WEBINAR

If you're being pitched AI analytics tools, or you're working out where AI fits in your reporting, this live session is for you.

Every AI tool you give your team answers questions from your company's data. When that data is spread across your ERP, CRM, and other systems, and your metrics are defined differently from report to report, AI hands back confident answers that don't match your dashboards. The same question asked twice can return two different numbers, and a wrong query often looks exactly like a right one, which makes errors hard to catch.

In this session, we make the case for BI as the foundation your AI runs on and walk through what that foundation looks like in practice.

What we'll cover:

1. Why AI struggles with questions that span more than one system, and what it takes to integrate your data so it can answer them.
2. How to define your metrics once and put that business context where AI reads it, so AI and your dashboards report the same numbers.
3. How BI and AI work together, with governed dashboards running your routine reporting while AI takes on exploratory questions.
4. What vendor pitches like "just point it at your data" assume about your environment, and how to tell whether those assumptions hold for you.

Who should attend:

CFOs, COOs, operating partners, and data leaders at mid-market and PE-backed companies who want AI to give answers they can trust.

Join us live on Tuesday, November 17 at 12 PM EST / 9 AM PST. 

Listen to the ​episode: Can You Run Your BI on AI?
Read our whitepaper for more on this topic: AI Needs a Foundation Too

About Blue Margin:

We help mid-market and PE-backed companies build the data foundation that reporting and AI both depend on, from integrating source systems to modeling metrics to managing your BI environment over time. 

Learn more at https://www.bluemargin.com