Conference Circuit: Data Quality, IIEX, and the AI Company Explosion | Signal & Noise Ep 33 cover art

Conference Circuit: Data Quality, IIEX, and the AI Company Explosion | Signal & Noise Ep 33

Conference Circuit: Data Quality, IIEX, and the AI Company Explosion | Signal & Noise Ep 33

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Summary

In this quick-hit episode, Brian and Andrew debrief fresh off the conference circuit. Brian just landed from Washington, D.C. and comes in hot with takeaways from two back-to-back events: the Insights Association Ignite Data Quality and the GreenBook IIEX conference at the Ronald Reagan Building.

The first stop is data quality. The Global Data Quality Initiative unveiled its latest benchmarks at IA Ignite, and the numbers are hard to ignore. Post-survey removal rates of 46.5% in B2B and 30% in healthcare patient research paint a picture of an industry with serious work to do. Brian and Andrew also dig into findings from Verisol, who analyzed 50 million survey clicks and found that the biggest threats are not true bots, but humans armed with AI using VPNs and location spoofing to game incentives.

Then it's on to IIEX, where Brian played a little game with Andrew: name the companies. Out of roughly 30 AI companies with booths or presentations, Andrew recognized maybe two. Outset, Neurons, Dialogue AI, ConvoTrack, Riley AI, and dozens more are flooding the market, and Brian makes the case that nobody can keep up with all of them. The second mouse gets the cheese.

The episode closes with a plug for the Signal and Noise webinar on May 12th at 2 PM Eastern, where Brian and Andrew will go deeper on trends, AI, and everything they held back from this one.

Key Takeaways:

  • Why the IA Data Quality Day may be the single most important gathering in the industry right now

  • What the GDQ benchmark numbers actually reveal about the state of B2B and healthcare research sample

  • Why the biggest fraud threat is not bots but humans with AI using proxies and spoofed locations

  • The overwhelming volume of new AI companies entering the market and why being strategic matters more than being comprehensive

  • Why the second mouse gets the cheese when it comes to evaluating early-stage AI tools

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