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#238: The Many Problems in Dealing with Data Problems

February 5, 2024
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#237: Crossing the Chasm from the Data to Meaningful Outcomes with Kathleen Maley

January 22, 2024
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#236: The AI Ecosystem with Matthew Lynley

January 8, 2024
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#235: 2023 Year in Review with Josh Crowhurst

December 25, 2023
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#234: Establishing Expectations for Analysts

December 11, 2023
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#233: Analytics Mentors (Having One, Being One)

November 27, 2023
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#232: The Reality of Uncertainty Meets the Imperative of Actionability with Michael Kaminsky

November 13, 2023
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#231: Estimating the Effort for Analytics Projects

October 30, 2023
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#230: First, We Must Discover. Then, We Can Explore. With Viyaleta Apgar

October 16, 2023
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#229: Data and the ABCs (SERIES A, B, and C, That Is!) with Samantha Wong

October 2, 2023
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#228: What AI Can’t Do with Dr. Brandeis Marshall

September 18, 2023
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#227: Demystifying Complex Data Science Concepts for Non-Technical Audiences with Dr. Nicholas Cifuentes-Goodbody

September 4, 2023
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#226: Training Analysts to be Curious and Use Business Context with MaryBeth Maskovas

August 21, 2023
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#225: From Stakeholder Buy-In to Stakeholder Knowledge of What That Means

August 7, 2023
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#224: The Chronic Undervaluing of Analyst Communication Skills

July 24, 2023
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#223: Explainability in AI with Dr. Janet Bastiman

July 10, 2023
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#222: A is for… Analytics. Agency. Acquisitions! with Bob Morris

June 26, 2023
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#221: Causal Inference Revisited (…DAGnabbit!) with DJ Rich

June 12, 2023
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#220: Product Management for Data Products and Data Platforms with Austin Byrne

May 29, 2023
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#219: To Generalize or to Specialize? That is the Question!

May 15, 2023
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#218: Delivering Value by Listening for Problems with Matty Wishnow

May 1, 2023
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