Date & Time
Jan. 29, 2025, 10:30 a.m. - Jan. 29, 2025, 11:30 a.m.
Cost
$0
Location
Online
Jan. 29, 2025, 10:30 a.m. - Jan. 29, 2025, 11:30 a.m.
$0
Online
What to Expect: Tim Gordon’s career has repeatedly featured ambushes by new technology. He worked in newspapers at the advent of the Web, the Yellow Pages when Google rose and politics in the age of social media. He has now been working in ML and AI for the last decade and will share some of the lessons that this combination of scar tissue and enthusiasm have taught him.
In this session he will focus on Generative AI (the latest technology that he will put in context) and provide:
He will close on a wider perspective
Tim’s talk won’t give you all the answers but it will help you be in a better position to ask the right questions.
When: 29 Jan 2025. Time: 7:30 PST / 10:30 ET / 15:30 GMT / 16:30 CET / 23:30 SGT
Speaker: Tim Gordon, hosted by Ronny Roeller, INSEAD TechAlumni Club
Tim’s Bio
Tim Gordon first worked with Machine Learning a decade ago when he ran a political party. Since then he has advised corporates, start-ups and investors on how to find competitive advantage from responsible and ethical AI deployment.
He co-founded Best Practice AI, a boutique AI advisory firm in 2018 and co-founded Salus AI, using AI in healthcare compliance. He is a frequent speaker on AI at both public and private events. His commentary on AI and its impact has been featured in The Washington Post, the FT, Prospect and Tortoise. He was one of the co-authors of the World Economic Forum’s Board Leadership AI Toolkit.
He has over twenty five years’ international leadership experience and has served in senior roles at companies including the Financial Times, the Boston Consulting Group (BCG) and in private equity-backed business and as Chief Executive of the Liberal Democrats.
He is a Trustee for Full Fact, the fact-checking organisation where he chairs their work on Automated Fact Checking. He studied at Cambridge University, holds an MA from the College of Europe and an MBA from INSEAD.