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Data Analytics Chat

Ben Parker

Data Analytics Chat explores how leading organisations are building, scaling and transforming through Data & AI.

Hosted by Ben Parker, Founder of Parker B Associates, a specialist recruitment firm helping organisations hire Data, AI and Technology talent.

Each episode features senior Data, AI and Technology leaders discussing:

• what they’re building • what’s getting in the way • what’s working • what they’ve learned • what other leaders can apply

Topics include AI adoption, enterprise data, data platforms, transformation, leadership, talent and ROI.

24,000+ downloads

Featuring leaders from AWS, Google, IBM, Oracle and global enterprises.

New episode every Tuesday.

Follow and subscribe for practical conversations with the leaders actually building and scaling Data & AI.

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Эпизоды

81 эпизод

  1. Are Companies Wasting Money on Data & AI? 47:36
  2. Your AI Is Live. But Is It Actually Working? 39:22
  3. Nestlé’s Chief Data & AI Officer on Scaling AI 49:01
  4. AI Is Moving Fast. Is Your Data Ready? 46:20
  5. They Tried 3 Times. Then AI Changed the Enterprise Data Build 46:22
  6. Why Trust Is the Missing Link Between AI and ROI 59:18
  7. From Legacy to AI: The Playbook for Transformation 44:57
  8. From Data Projects to Data Products: Essential Skills for AI Leaders 42:19
  9. The Future of Data Science & Data Engineering in the Age of AI 37:57
  10. How To Make Successful Decisions In AI 23:45
  11. What It Really Takes to Adopt Generative AI at Scale 39:22
  12. Why Most Organisations Aren’t Ready for AI — Even If They Think They Are 30:38
  13. The Reality of AI Today: Beyond the Hype 33:47
  14. Why Hiring and Retaining Top AI Talent Has Become Harder Than Ever 1:11:15
  15. The Hidden Cost of Poor Data Quality 23:47
  16. AI Agents: From Hype to Enterprise Value 49:02
  17. The Power of Personalisation: How AI Influences What We Buy 44:19
  18. What It Really Takes to Scale Generative AI 57:32
  19. How to Measure the Real ROI of Data & AI 1:05:29
  20. How to Build Effective Data Standards in Pharma 45:27
  21. Core Data Principles That Drive Business Value 50:15
  22. How Hard Is It to Get Things Done in Data Projects 56:47
  23. How Gen AI and Agents Are Reshaping The Game 42:11
  24. How Agentic AI Will Impact Business 56:08
  25. How a Measured Data Stack Can Impact Business Decisions 38:00
  26. Choosing The Right Signal on Human Intuition or AI Insight 46:58
  27. Personalised Medicine & Why The Right Data Matters 40:52
  28. Building AI Without Foundations 44:47
  29. Why Every Company Needs a Data Platform Strategy 42:54
  30. How To Solve Business/Consumer Problems Using AI 38:51
  31. How Do We Thread Gen AI Into Our Processes? 58:12
  32. What Happens When We Adopt AI – The Change Management Journey 34:17
  33. Why Have Firms Not Focused on Data Readiness 45:33
  34. Turning AI into ROI: How to Build Value, Not Just Models 37:36
  35. Can We Trust GenAI? 54:19
  36. The Hidden Barriers to Data Maturity 1:07:25
  37. How to Lead and Coach High-Performing Data Teams 1:19:08
  38. What It Really Takes to Drive AI Adoption 57:22
  39. Why Data Projects Keep Failing 48:42
  40. The Gen AI Shift: Data Engineering Redefined 35:11
  41. BMW’s AI Leader on Soft Skills, Career Growth & Thriving in Tech 28:42
  42. How to Lead and Succeed in Data 28:04
  43. Safety First: The Six Laws for Safe AI 35:25
  44. What It’s Really Like Being a CDO in 2025 47:56
  45. Breaking Barriers in AI 28:51
  46. Data ROI Unlocked: Turning Analytics into Real Business Value 40:40
  47. How To Get Right Data Prepared For Generative AI 28:26
  48. Leading with Data in the Age of AI 35:39
  49. You Don’t Need to Code to Succeed in Data: Here’s What Matters Most 44:43
  50. Why Purpose Matters: From Pharma Exec to Startup 39:09