DataFramed

Welcome to DataFramed, a weekly podcast where we explore how technology and data are changing the world around us. On this show, we invite data leaders and practitioners at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of data. Whether you're a beginner looking to gain career insights into a career in data, a practitioner needing to stay up-to-date on the latest data tools and trends, or a leader looking to transform how your organization uses data, there's something here for everyone. Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.

Most Recent

EP. 370

Failure is Data (and Other Career Advice) with Todd Dewett, Leadership Author & Speaker

Richie and Todd explore why fear quietly limits careers, treating failure as data rather than a verdict, the people skills that outlast raw IQ, using AI without losing your voice, building habits, escaping the success trap, and much more.

July 27, 2026 • 44 minutes

EP. 369

How to Become a Top Business Intelligence Analyst | Helen Wall, Founder at Helen Data Design & Microsoft Influencer

Richie and Helen explore what separates a great BI Analyst from an average one, the iceberg model of analytics work, semantic layers, taking over messy legacy projects, documenting for both humans and AI agents, accountability in the age of agents, and much more.

July 19, 2026 • 49 minutes

EP. 368

Lakebases are the New Databases with Reynold Xin, Co-Founder at Databricks

Richie and Reynold explore self-service analytics with Genie, the ontology layer that grounds AI in enterprise data, governance and permissions for AI agents, Lakebase and LTAP, real-time analytics, the future of Spark and classic machine learning, and much more.

July 13, 2026 • 50 minutes

EP. 367

Don't Build on Jell-O: How to Make Agentic AI Reliable with Dan Klein, CTO at Scaled Cognition

Richie and Dan explore why AI reliability has lagged behind capability, how hallucinations hide in plain sight, the limits of humans-in-the-loop and LLM-as-judge, building reliability into model architecture, agentic systems and verifiable actions, and much more.

July 5, 2026 • 51 minutes

EP. 366

Can AI Agents Outperform a Data Scientist? with James Zou, Professor at Stanford University

Richie and James explore how AI scientist agents are already outperforming human experts, the Virtual Lab framework for teams of agents, a new training paradigm called "learning to discover", scaling agentic systems, and much more.

June 29, 2026 • 48 minutes

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