Enterprise hits and misses - AI, analytics are metrics - what are we missing? Enterprises confront AI Doomsday narratives, and event season rolls on

Lead story - Does AI + analytics equal value? And can metrics lead us to outcomes?

Barb tackled these issues in a two-parter. Start with: AI + analytics = value? (2/2) - why are we still having problems getting the data foundation right. (And does it really matter?). Problem statement?

According to Domo’s Chief AI and Analytics Officer Ben Schein, the metrics challenge facing organizations is not simply being able to track productivity or model costs - although the tokenomics panic means that certainly does still matter - but rather lies in understanding the hidden costs of verifying AI output and providing the right business context for the tech to work most optimally.

Yes - so your agree-upon metrics may contain hidden costs that skew the stated goal. Barb cites the problems (to date) in measuring AI's impact on productivity. What is the hangup there?

That rather begs the...

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