Data Faces Podcast
Discover the human side of data, analytics, and AI with Data Faces. Hosted by David Sweenor, the podcast features candid conversations with the leaders and innovators shaping how data drives business, culture, and technology. Listen on YouTube, Spotify, and Apple Podcasts.
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AI Didn't Break the Tech Job Market | Jim Jinright, JRJ Search Group
Data Quality for 140 Million Members | Intuit Credit Karma
How Do You Make Data AI-Ready? | Malcolm Hawker, Profisee
3x Faster Time to Market With Data Products | Capital One
Run Your Data Platform Like a Product | Amin Venjara, ADP
What Does Enterprise AI Actually Cost? | Sam Pierson, CTO of Qlik
SaaS Is Dead? Absolute BS | April Dunford
AI-Ready Data Is a Higher Bar Than Analytics | Matt Hayes
When AI copies every feature, what's left to sell? | Donald Farmer
The three V's of agentic AI | Doug Laney on the self-driving business
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Data Faces Podcast – On Location
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Escaping AI POC Purgatory | Gwen Thomas
3x Faster Time to Market With Data Products | Capital One
The Four Pillars of AI Readiness | Leticia Naqvi, Apple
Wide Data vs Big Data in Manufacturing | Steven Moskowitz
Data Quality for 140 Million Members | Intuit Credit Karma
Industry Data Quality Gets a D Plus | Stacie Christensen
Data Governance Hasn't Hit Version 1.0 Yet | John Ladley
70% of Unstructured Data Isn't Ready for AI | Kevin Petrie
70% of Unstructured Data Isn't Ready for AI | Kevin Petrie
Why De-Biasing AI Is Impossible | Leigh Felton
Why De-Biasing AI Is Impossible | Leigh Felton
The Shadow Pit Crew Crashing Your Data Program | Mark Ramsey
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Data Faces podcast clips
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How Do Junior Engineers Stay Valuable? | Jim Jinright
Why Does Change Only Happen Under Threat? | Randy Bean
What Happens to the CDO Role Next? | Randy Bean
Should You Have to Interview With a Bot? | Jim Jinright
How Do You Keep AI Agents From Going Off the Rails? | Intuit Credit Karma
Is Coding Becoming a Commodity? | Jim Jinright, JRJ Search
The Data Quality Paradox in Text | Malcolm Hawker
How Does an AI Agent Find Root Cause in Minutes? | Intuit Credit Karma
The Perfect Storm Behind the Tech Job Market | Jim Jinright
What 1,500 Gartner Calls Taught Him | Malcolm Hawker
Why Do So Many AI Proofs of Concept Fail? | Malcolm Hawker
Whose Job Is Data Quality? | Veenit Shah, Intuit Credit Karma
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TinyTechGuides Tidbits
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Tidbit: Why You Can’t Trust AI with Dates | TinyTechGuides
Tidbit: How Tables Break Your AI’s Brain | TinyTechGuides
The PMM’s Prompt Playbook: Escape the Tactical Trap! | TinyTechGuides Tidbit
Stop Playing Mad Libs with Your Marketing! | TinyTechGuides Tidbit
ChatGPT Memory: Unlocking the Secrets of AI Awareness | TinyTechGuides Tidbit
Stop Writing AI Content That Sounds Like Everyone Else's | TinyTechGuides Tidbit
AI Agents Explained: The Future of Automation | TinyTechGuides Tidbit
Unlock the Power of Generative AI: The Secret is in the Patterns | TinyTechGuides Tidbit
What History Can Teach Us About AI’s Future | TinyTechGuides Tidbit
Navigating AI Risks: From Cat Names to Bottom Lines | TinyTechGuides Tidbit
AI Entropy: Don’t Let Your Content Get Dumber! | TinyTechGuides Tidbit
How Politeness Impacts AI Performance | TinyTechGuides Tidbit
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Recent episodes
- Ep 52 — Randy Bean (Data & AI Leadership Exchange): Where should the chief data officer report? Randy Bean says sales
- Ep 51 — Jim Jinright (JRJ Search Group): The perfect storm behind the tech job market
- Ep 50 — Veenit Shah & Puneet Singh (Intuit Credit Karma): Data quality is everybody’s job when the alert means 140 million people
- Ep 49 — Malcolm Hawker (Profisee): AI-ready data is the wrong question
- Ep 48 — Amy Lenander & Christina Egea (Capital One): Build data products for the hundredth use case