Explicit Measures Podcast 477: Mailbag! Start With Why
Nov 18, 2025
Mike and Tommy tackle listener questions about defining problems before adopting tools like Power BI. They discuss the importance of starting with 'why' for effective analytics, emphasizing how industry context shapes value. The hosts critique AI infrastructure challenges and debate cost models. They explore using agents for automations and how BI skills translate to new AI tasks. Cultural resistance and user buy-in are highlighted as critical for successful tool adoption. The conversation also touches on the future of AI in organizations and practical applications of agents.
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Different Copilots Serve Different Needs
- Not all copilots are the same: there are multiple copilots across GitHub, Power BI, and M365 serving distinct roles.
- Use the right copilot for the task rather than assuming one AI fits all.
Facilitator Copilot Became Indispensable
- Tommy uses the Teams facilitator copilot regularly to produce meeting recaps and loop documents.
- That facilitator feature became indispensable for his meeting workflow.
AI Infrastructure Creates A Scalability Bottleneck
- Building and running large AI models requires massive infrastructure, power and investment, creating a scalability bottleneck.
- Smaller companies will rely on hosted services until inference becomes feasible on local devices.