AI + analytics = value? (2/2) - why are we still having problems getting the data foundation right. (And does it really matter?)

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In the first part of this article, Domo Chief AI and Analytics Officer Ben Schein argued that enterprises need to put their data foundations in place before embarking on AI adoption. But that doesn’t necessarily mean that this needs to be 100% perfect or complete.

Can organizations move forward with AI when the data foundation isn’t completely in order? Schein says yes, and AI can help by cleaning the data and identifying gaps:

Here's this dashboard which had the official metrics we share with the CEO for earnings. Okay, this gives me some metrics. Let me make sure those are clean. Let me check for inconsistencies. Let me use those metrics and the way you had this laid out, and the different filters you had to create: an AI dictionary for that data to explain to the AI how we think it works based upon what we've seen in the...

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