The Enterprise AI Show
The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]
As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.
New shows every Wednesday and Sunday.
Topics: Enterprise AI strategy · The AI Economy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing
The Enterprise AI Show
What are the incentives to share AI learning curves with teammates?
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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
SHOW SPONSORS:
- Nasuni - Activate your data for AI and request a demo
- OutShift - “Scaling Out Superintelligence” The Internet of Cognition architecture
- ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
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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