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Data Faces Podcast

TinyTechMedia

Data Faces is a data, analytics, AI, and marketing podcast that brings the human stories behind the numbers to the forefront. Hosted by David Sweenor, author and founder of TinyTechGuides, each episode features candid conversations with the data leaders, AI innovators, and marketing practitioners putting data and AI to work. Topics include why enterprise AI initiatives fail, AI-ready data and data quality, AI and agentic governance, AI agents, enterprise AI adoption, and B2B marketing. For CIOs, CDOs, analytics leaders, and product marketers.

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Episodes

57 episodes

  1. Is BI Dead in the Age of AI Analysts? | Lucas Thelosen 34:56
  2. Why De-Biasing AI Is Impossible | Leigh Felton 16:33
  3. AI Won't Replace the Analyst | Gerry Van Zandt, Alteryx 40:35
  4. Industry Data Quality Gets a D Plus | Stacie Christensen, H-E-B 15:00
  5. The AI Context Layer Nobody Names | Ken Sanford, Clarifeye 38:28
  6. No Business Value From AI? Shut It Down | Randy Bean 14:40
  7. AI Didn't Break the Tech Job Market | Jim Jinright, JRJ Search Group 39:08
  8. Data Quality for 140 Million Members | Intuit Credit Karma 14:29
  9. Why "AI-Ready Data" Means Almost Nothing | Malcolm Hawker, Profisee 38:25
  10. 3x Faster Time to Market With Data Products | Capital One 13:47
  11. The Real Cost of Enterprise AI | Sam Pierson, CTO of Qlik 35:44
  12. Run Your Data Platform Like a Product | Amin Venjara, ADP 17:52
  13. SaaS Is Dead? Absolute BS | April Dunford 38:12
  14. AI-Ready Data Is a Higher Bar Than Analytics | Matt Hayes 36:40
  15. When AI copies every feature, what's left to sell? | Donald Farmer 35:32
  16. The three V's of agentic AI | Doug Laney on the self-driving business 34:58
  17. The Question That Separates AI Value From Sunk Cost | Andreas Welsch 38:47
  18. Forget AGI. Your AI Is Dumb Without Your Data | Josh Howard, Databricks 36:04
  19. Metadata, semantics, and the future of AI context | Steve Wooledge 38:18
  20. Bots Need Not Apply: Authentic Voices in Data and AI | Kate Strachnyi 36:47
  21. Why Bad Data Didn't Matter Until Now | Brendan Grady 29:45
  22. A-Eye Gets Its Own Interview | Data Puppets Bonus 3:44
  23. Truth Before Meaning in Data Management | Scott Taylor 35:36
  24. Data Intelligence & Agentic AI | Stewart Bond, IDC 39:13
  25. Storytelling Is the Most Durable Data Skill | Michael Meyer 36:05
  26. Your AI Has a Data Context Problem | Asa Whillock 34:47
  27. AI Governance vs Data Governance Explained | Gene Arnold 37:59
  28. Culture Eats AI for Breakfast | Randy Bean 34:46
  29. AI Predictions for 2026 That Actually Matter | Tom Davenport 33:06
  30. Enterprise AI in Practice: What 2025 Taught Leaders 13:37
  31. Open Source Meets AI Innovation | Bruno Trimouille 36:14
  32. Data Lineage for AI: Why Truth Beats Hope | Tina Chace 35:43
  33. Culture Meets Code | Gina von Esmarch 37:37
  34. AI in Sales Enablement | Matt Magne 41:31
  35. The End Goal of AI: Humans, Not Machines | Eric Kavanagh 39:57
  36. AI Agents & Governance Explained | Catalina Herrera 41:26
  37. Agentic AI for Growth Marketers | Rajeev Kozhikkattuthodi 37:45
  38. AI Governance & Teamwork in Action | Thomas Been 38:44
  39. How AI Agents Reshape Marketing & Teams | Chelsea Wise 39:02
  40. Punchy B2B Messaging Strategies | Emma Stratton 35:41
  41. AI Agents in the Enterprise: What’s Real vs. Hype | Rich Mendis 34:54
  42. AI and the Future of Competitive Intelligence | David Bryson 36:46
  43. AI’s Wake-Up Call for Business Leaders | Judit Szabo 38:52
  44. Agentic AI & Ending Hallucinations | Hyoun Park 37:44
  45. What “AI-Ready” Really Means for Data Teams | Shane Murray 37:27
  46. Why AI Projects Fail Without Alignment | Danny Stout 36:08
  47. Fix Your B2B Messaging Strategy | Gabriela Contreras 38:20
  48. Building Trust in AI Systems | Robert Lake 39:12
  49. How Gen AI is Reshaping Product Marketing | Melissa Burroughs 38:37
  50. There Is No Post-AI World | John Thompson 36:46