Today's show is a little different. It's not your standard interview style discussion, because today's guest is not our standard guest. He is an Emmy Award winner, an entrepreneur, inventor, and researcher. He's a master of advertising and marketing effectiveness. No-one has worked harder or been more effective at understanding the relationship between marketing effectiveness, emotions, motivations and drivers. And... he built it into a machine learning model.
So, what we're bringing you today is a first hand account from a pioneer in machine learning of how he built his AI, Bill Harvey. What do I mean by pioneer?
Well, Amazon got there in 1998 or 99, but today's guest built a machine learning recommendation engine that was embedded in cable tv boxes in 1997. Not too shabby, eh?
This year, McKinsey tells us that AI is at the top of CEO's agendas. As a CMO, you are probably all over gen AI and tools driven by machine learning too. That's why we thought you might want to hear this.
Emmy award winner, innovator & inventor with 35+ years as thought leader in media research & key solution-provider to Fortune 500 brands.
Breakthrough inventions include:
Bill is the original discoverer of DriverTags™ the first proven scientific development of psychological attribute metatags for content (programs, movies, ads, etc.). RMT’s DriverTags™ have the highest predictivity of Nielsen ratings, series cancellations and renewals, and individual viewer likelihood of conversion to specific programs. Most recent work being presented at ARF shows an ability to lift ROI for brands by over +35%.
Full show notes: Unicorny.co.uk
LinkedIn: Bill Harvey | Dom Hawes
Website: Bill Harvey Consulting
Sponsor: Selbey Anderson
Episode outline
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