The Best AI Operating Model For your Business - Peter Gostev

Peter Gostev was Head of AI at Moonpig, and he's now AI Capability Lead at Arena. He also created 'Bullshit Bench' which measures how well AI detects bullshit. In this episode we discuss why you should separate your Generative AI and Traditional Data Science teams, the best operating model for AI in your business, and how hands-on leaders need to be. If you enjoy this episode, please share it with friends and colleagues. Also, please do click 'Like' to tell the algorithm you want more stuff like this, and subscribe to Longview Live on YouTube! Chapters: 00:00 Coming Up on Longview Live 01:24 Peter's background 02:22 Peter's role at Moonpig 04:19 Keeping Data Science and GenAI teams separate 09:31 Best operating model for AI and Data Science 11:23 Unique characteristics in AI leadership 13:27 Is a little knowledge a good or bad thing in leadership? 15:13 Generating use cases 20:14 Balancing business requirements and AI capabilities 24:54 ROI as a decision factor 27:16 Disruptive implications of AI 29:48 Different risk tolerances in industries 32:11 His activity on LinkedIn 41:06 Preparing for the future of AI