AI is moving fast. But so is life. AI is widely recognized as a must-adopt technology, but how and where are data workers expected to find the time for that?! Organizations are struggling to find effective ways to productively drive healthy adoption of AI: What is it they expect their workers to do with AI? Is it purely an efficiency driver, or should they expect other avenues of value creation to be pursued? What guardrails need to be in place? What incentive structures are (and are not) effective when it comes encouraging team members to take the AI plunge? One tactic that is definitely effective is to have leaders who are excited, engaged, and transparent as they get their hands dirty. And, boy, did the algorithm deliver one of those to us in the form of John Lovett, VP of Analytics at SEER Interactive, for this discussion!

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

The one rule about the Analytics Power Hour is that we don't talk about specific tools. But that doesn't mean we won't talk about tool SELECTION! Jason Packer recently released the second edition of Google Analytics Alternatives, (also available on Amazon) and his approach in the book is very much not an RFP-like "check which features your tool offers" system. And his rationale for that seems just as applicable (to us, at least!) for any data platform selection, be it a digital/product analytics platform, a BI tool, database or storage infrastructure, or, well, you name it! Ultimately, the challenge is how to go about getting a reasonably strong understanding of the philosophy and historical roots of each platform being considered and then marrying that up with the foundational priorities and needs of the organization. Is that a lot harder than a feature checklist? Yes. But them's the breaks.

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

As Kevin McCallister once taught us: just because the house is still standing doesn't mean everything's under control. Everyone's racing to adopt AI, but has anyone actually read the fine print? For this year's International Women's Day episode, we are joined by Aubrey Blanche to unpack the hype, the hidden tradeoffs, and the quiet ways teams are giving up agency in the name of "productivity." We explore how data and tech teams are uniquely prepared and positioned to ask better questions, measure what really matters, and avoid letting the AI teenager run the house. Learn more about "phantom value" and why faster isn't always better… or even cheaper!

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.