SUMMARY: When we get to the end of 2026, how will enterprise companies be measuring the success of their AI projects? And how well will their teams be sharing their AI learning curves?
SHOW: 1034
SHOW TRANSCRIPT: The Enterprise AI Show #1034 Transcript
SHOW VIDEO: https://youtu.be/TvIFwNN-6ck
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SHOW NOTES:
Topic 1 - How do we measure AI-adoption success?
- Number of workloads?
- Financial metrics (Spend, ROI, Costs-Saved, etc.)?
- Speed improvements?
- People-level?
Topic 2 Right now the AI tools are very individual-centric
- The machinery to share, even at the basic enterprise-level, is very difficult
- The experience to share is non-deterministic, just as everyone’s working style is different.
Topic 3 - The motivation to share is still unknown.
- How do you encourage collaboration when so many companies are laying off people, or the specter of that happening is growing?
- What was the motivation before (team goals?) and how does that change now?
- People don’t want to be monitored, so how does a manager have visibility?
- What happens when companies remove the managers (“the counters”)?
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