Keynote Speakers | Weatherhead School at Case Western Reserve University

Keynote Speakers

Michael Conley

SVP, Chief Information Officer at Cleveland Cavaliers

Michael Conley joined the Cleveland Cavaliers as Vice President of Digital in 2013 after leaving Fox Sports where he was Director of Product and Technology. Michael oversees all digital, mobile, web and social media operations, services and marketing efforts for the Cleveland Cavaliers, Lake Erie Monsters, Cleveland Gladiators, Canton Charge and Quicken Loans Arena. The Cavaliers are the first team in the NBA league to natively build the innovative Virtual Reality technology into their official *Cavs mobile app. Working closely with the team’s corporate partnership, ticketing, marketing, operations and activation teams, Michael is also responsible for the continued advancement and monetisation of all digital-related platforms.

Title: It’s not your journey, it’s theirs: One team’s effort to understand their customer's true digital intent and help them get there through 1:1 consumer engagement

Vibhu Mittal

CEO, Edmodo

Vibhu is the CEO of Edmodo and former Co-founder and CEO of Root-One, a startup in the education space, working on problems in language literacy. He has previously held positions with Google Research, Xerox PARC, Stanford/CSLI, CMU/LTI and TIFR Bombay. A panglossian optimist, he has been associated with other startups over the years. He has taught at Carnegie Mellon and The Ohio State University. He serves as an Adjunct Faculty Member at Carnegie Mellon.

Title: Machine Intelligence: Does it help or hurt innovation?

Abstract: With the proliferation of digital devices used in workflow processes, it is now possible to record, collate and analyze data at levels previously unimaginable. "AI" is in the news again. Is it real? What does this presage? Will machine intelligence help or hinder our thinking in new and original ways? How will it impact innovation? This talk will highlight some of the previous attempts to harness the power of data and the first attempts to build models from them. I will walk through some of the more surprising successes along the way in areas typically considered to require more creativity: language and art. Finally, we will attempt to answer the original question: the impact of data on innovation. How can we measure the state of innovation and what do current indicators augur for the future?