Enterprises need data that is accurate and relevant to feed their apps, platforms and AI agents that are meant to work digital miracles. The trouble is that data could be suspect even when it looks “perfect” on the surface.
Vetting and pressure testing data can keep a company from acting on inaccurate information, which might not be the fault of AI.
In this episode of the InformationWeek Podcast, Phison Electronics CTO Sebastien Jean and Ensemble Health Partners CTO Grant Veazey discuss the types of data they work with, what they prioritize when testing that data, whether they run simulations with “broken data” and how worthwhile visualizations can be.
The Questionable Ideas tabletop scenarios then puts their knowledge and experience to the test as they serve as interim executives to help the fictional company sort out its data testing strategy.
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