AI is reshaping the way we work, but without guardrails, it can do more harm than good. In this episode, we sit down with Martin Reynolds, Head of Data Strategy at Harness, to explore how organizations can balance innovation and security while keeping AI both powerful and accountable.
Here’s what you’ll discover:
🔹 Building Trust in AI – Why in-house models often feel safer, but third-party solutions can sometimes deliver stronger reliability and testing.
🔹 Data Protection – How privacy segmentation and context modeling are redefining what secure AI means in the enterprise.
🔹 Responsible Implementation – The importance of internal governance, employee training, and clear oversight frameworks for ethical AI use.
🔹 Lessons from the Track – How leaders can borrow the mindset of F1 teams—constant iteration, fearless experimentation, and readiness to pivot when things don’t work.
By connecting Lenovo’s global research insights with Martin’s expertise in AI strategy, this conversation shows that the future of work will favor organizations that combine agility with accountability.
🎧 Watch the full episode to learn how to build AI systems that are fast, flexible, and safe.
Chapters:
00:00 Introduction to Lenovo Work Reborn
00:30 Defining ‘Work Reborn’
00:49 Impact of AI on Work
01:28 Cybersecurity Concerns with AI
01:49 In-House vs. Third-Party AI Solutions
02:37 Testing AI Models
03:34 Data Protection in AI
03:52 Governance and Oversight in AI
05:32 Parallels Between Sports and Work
06:38 Conclusion and Further Resources
