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Apr 23 @ 9:30AM PST

From Messy Data to Verified Analytics: Why Most AI Analytics Tools Fail Before They Start

Most enterprise analytics tools assume the hard work is already done. It isn't.

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The real bottleneck isn't getting answers faster. It's that the data needed to answer them is fragmented across systems, and it needs to be reconciled and assembled before it can be analyzed. Then the answers need to be accurate to make better decisions.

The result: your best analyst disappears for three days and comes back with a spreadsheet and a caveat. In this webinar, we'll walk through why fragmented enterprise data breaks traditional analytics, why chat-with-data tools paper over the problem instead of solving it, and how a verification-first, multi-agent approach delivers answers you can actually act on.

Join us to learn:

  • Why the warehouse is not the single source of truth — and what to do about it

  • How aidnn assembles, reconciles, and verifies data across disconnected systems

  • What verified analytics looks like in practice, with real examples from ecommerce and logistics

​Webinar Details


Date:
Apr 23, 2026
Time: 9:30 AM PST
Location: Live on Zoom (recording available)