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Tuesday, May 15

9:00 AM
Morning Coffee
9:45 AM
Ross Fadner, Director, Event Programming, MediaPost 
10:00 AM
We open Marketing AI with a Keynote Q&A between MediaPost Editor-in-Chief Joe Mandese and noted media critic and author Ken Auletta, who will discuss the future of advertising, Big Data, machine learning and more from Auletta’s new book, Frenemies: The Epic Disruption of the Ad Business (And Everything Else).
Ken Auletta, Author, The New Yorker Annals of Communications 
Joe Mandese, Editor-in-Chief, MediaPost 
10:30 AM

There is no brighter, shinier object for marketers in 2018 than Artificial Intelligence and Machine Learning. But do brands really need to rush in? Join us as we kick off the 2018 installment of Marketing AI with this very pertinent question and explore how marketers are resisting the smoke and mirrors around these hot topics, while zeroing in on how these technologies apply to their marketing goals and infrastructure today.

Chuck Martin, Editor, Net Future Institute, AI & IoT Daily 
Sargi Mann, EVP, Digital Strategy – Investments, Havas Media Group 
Matt Marcus, VP, ECD, Brand AI Lead, R/GA 
Justin Thomas-Copeland, President, RAPP-NY 
11:00 AM
Coffee Break
11:30 AM

AI and ML represent a huge opportunity and challenge for ad agencies; how quickly they adopt and deploy these technologies in the right way both internally and externally through client work will be crucial. But what does that mean? How can AI and ML help improve customer experiences today as well as further down the road, and what is the road map to getting there? How do these technologies inform advertisers about how to leverage data in new ways? How is it advancing programmatic advertising, in particular?

Ross Fadner, Director, Event Programming, MediaPost 
Ben Gaddis, President, T3 
Christopher Neff, Senior Director of Innovation, The Community 
Doug Robinson, Founder & Chief Executive Officer, FreshDigitalGroup 
Adam Wogksch, Group Technology Director, Organic 
12:30 PM
1:30 PM

Lincoln Center for the Performing Arts sought to improve its customer experience by transforming into an “always-on” platform. To do this, the iconic New York City institution launched an AI-based conversational interface for its Web site named “Wolfie” (after the composer Wolfgang Amadeus Mozart). In this presentation, Lincoln Center’s SVP of Brand and Marketing, Peter Duffin, will share best practices and results from the implementation of “Wolfie.”

Peter Duffin, S.V.P. Brand and Marketing, Lincoln Center for the Performing Arts 
2:00 PM

One of the most exciting applications of AI is its impact on mega marketplaces like Amazon,, and While the marketing tools these ecosystems offer may be less refined than Google and Facebook, AI and ML will undoubtedly accelerate the maturation of these mega marketplaces. What ecommerce marketing tools are brands and agencies experimenting with on these platforms, and how are AI/ML evolving these products? How are recommendation engines and user reviews becoming more adept thanks to AI/ML?

Dan Hodges, CEO & Founder, Consumers In Motion 
Poonam Goyal, Sector Head and Senior U.S. Retail Analyst, Bloomberg Intelligence 
Michael Gutelli, Global Creative Content Strategy Director, Commonwealth //McCann 
2:30 PM
Coffee Break
3:00 PM

Search data forms a big part of the backbone for AI technology: innovations in analytics, people-based marketing, voice/virtual assistants, and image recognition all leverage search data to be more accurate. But these innovations also create new and complex data streams for marketers to interpret. How are artificial intelligence and machine learning bringing us closer to the 1:1 Promised Land, and what is search’s role in facilitating that, in particular? What are the privacy and security pitfalls along the way?

Talis Lin, Senior Performance Marketing Executive, Talis Lin Consulting 
Edward Foster, VP, Managing Partner, Search and Social, GroupM 
Dr. Ram Singh, EVP, Analytics & Technology, Performics 
3:30 PM

AI and ML are already revamping and improving the ad tech ecosystem, saving advertisers time by maximizing workflow efficiencies, and analyzing and readying more data for marketing purposes than a human possibly could, while also requiring less humans overall, leading to huge cost savings across the board. However, technology sellers can be quite opaque about the secret sauce behind their algorithm, making it hard for marketers to understand what they’re really buying. In light of that, we ask the buy-side to sound off on whether it’s smarter to build, buy or borrow AI technology, while giving AI sellers some tips on how best to engage them.

Andrew Eklund, Founder and CEO, Ciceron 
Paula Fedoris, SVP – Analytics Lead, UM 
Tom Kelshaw, Director of Strategy Platforms & Technology, Wavemaker 
4:00 PM
Conference Ends