
How do you know whether AI is actually making your organization better? Counting prompts, sessions, and token spend is easy. Figuring out whether any of that activity is driving business outcomes is...harder. Daniela Matinho, Marketing Science Senior Strategist at LinkedIn, wrote a Medium post on that very question, and it helped shape this discussion about what AI is (and isn't) changing about the work of the analyst. As Daniela pointed out, if you tell a client you did something in two days instead of a week because of AI, the client doesn't care. They care about the result! From the smart-but-junior agent that needs constant supervision, to the analyst's shift toward being more of a storyteller, to the unglamorous-but-essential work of data quality and governance, we covered a lot of ground. Being faster is great. Staying influential is better. This episode is brought to you, in part, by our sponsors, Stape and Prism from Ask-Y. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page: https://analyticshour.io/2026/10/13/308-ai-changes-everything-analytical-fundamentals-still-apply/
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#309: Interviewing in a Dynamically Evolving Job Market

#307: AI Does (and Does Not) Work for Data Storytelling

#306: Decision Support Has Been the Point All Along

#305: Personal Interest + Analytics Chops = Career?
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