{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"The AI Playbook, with Eric Siegel","description":"Episode 199 Today\u2019s topic is AI and ML, and though you may think this doesn\u2019t concern marketing, we need to acknowledge how it\u2019ll shift things. Up to now, marketing was done on the premise that for a given audience shown a message, some&amp;nbsp; average percentage, would act on it. With AI, we\u2019re now able to look at individual audience members and predict how each of them would act upon a message, and at the opportune moment we could have the message show up to each one of them. Goodbye analyzing what happened with crude audience averages, Hello to using detailed data to predict what\u2019s likely to happen.&amp;nbsp; With AI holding such promise, why don\u2019t more companies hand things over to AI? I had thought it\u2019s held up by a lack of technical people who know how to do this, but our guest says we\u2019ve had enough technical expertise - He himself was previously one of those data people, and his expertise wasn\u2019t enough to do the job.&amp;nbsp; He says AI initiatives are held back by those running business functions like marketing who haven\u2019t made the business case and collaborated with the data people to implement this.&amp;nbsp; My guest is a leading consultant and former Columbia University and UVA Darden professor. He is the founder of the long-running Machine Learning Week conference series, a frequent keynote speaker, and author of the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. In 2023 he authored \u201cThe AI playbook\u201d Let\u2019s talk to Eric Siegel. Timestamps\/Chapters: 0:00:00&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Intro 00:01:37 &amp;nbsp; &amp;nbsp;Welcome Eric Siegel 00:01:56 &amp;nbsp; &amp;nbsp;Barrier we face isn't technical know-how 00:06:05 &amp;nbsp; &amp;nbsp;Despite a strong start - AI's been slow to spread 00:11:17 &amp;nbsp; &amp;nbsp;Process a business needs to implement ML 00:27:41 &amp;nbsp; &amp;nbsp;building a custom algorithm 00:29:45 &amp;nbsp; &amp;nbsp;PSA 00:52:32 &amp;nbsp; &amp;nbsp;The human-side of the switchover 00:54:03 &amp;nbsp; &amp;nbsp;Contacting Eric Links to all people and concepts mentioned are in the shownotes on the Funnel Reboot site. &amp;nbsp; &amp;nbsp; ","author_name":"Funnel Reboot podcast","author_url":"https:\/\/funnelreboot.com","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/30601818\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/169984678"}