How Can GenAI Make Analytics More Accessible ...

AI has collapsed the gap between idea and execution—but standing out in a flood of generative tools requires more than just speed. Product leaders now face a different kind of challenge: evaluating opportunities with sharper questions, building for users with evolving expectation ...  Show more

Welcome to 2026! In this special retrospective episode, host Hannah Clark is joined by producer Becca Banyard to unpack the biggest themes, standout insights, and most listened-to moments from the past year. Together, they reflect on what made 2025 such a pivotal year in product— ...  Show more

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.We’re often caught chasing the dream of “self-serve” data—a place where data empowers stakeholders to answer th ...  Show more

Sophia Rowland, Senior Product Manager at SAS, discusses her journey from data science to product management at SAS, focusing on the integration of AI and analytics. She explains the concepts of Model Ops and ML Ops, the challenges organizations face in operationaliz ...

In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two data leaders from Nordstrom to explore how organizations can build a culture of technical excellence and measurement in data science. First, Gina Schmalzle, Principal Data Scientist at Nordstro ...  Show more

Doing sales better is perhaps the most direct route to making more revenue, so it should be a priority for every business. B2B sales is often very complex, with a mix of emails and video calls and prospects interacting with your website and social content. And you often have mult ...  Show more