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Tuesday, October 8 • 9:00am - 10:00am
Practical Applications of Machine Learning for Business LIMITED

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Limited Capacity seats available

The world has seen a massive rise in popularity for venture investment, conferences, and business-related queries for “machine learning” since 2012 – but most technology executives often have trouble identifying where their business might actually apply machine learning (ML) to business problems. With new AI buzzwords being created weekly, it can seem difficult to get ahold of what applications are viable, and which are hype, hyperbole or hoax.

In this talk, we’ll break down categories of business problems that are commonly handled by ML provide actionable advice to begin a ML initiative with the right approach and perspective (even it’s the first such project you’ve undertaken at your company).

Best of all, we’ll reference real business use cases, along with expert perspectives on “how to solve business problems with ML” from our panel of AI engineers and executives. The increasing availability of affordable and flexible computing power is making AI and machine learning accessible to more and more businesses, which are using the technology in a wide variety of ways. Should you be using it to solve your present business challenges?

avatar for Josh Johnston

Josh Johnston

Director of AI Science, Kount
Josh Johnston leads Kount’s AI Science team in its fight against digital fraud. His algorithms operate in less than 250ms to protect hundreds of millions of dollars of payment transactions each day. Previously, he built self-driving cars for the DARPA Grand Challenges, autonomy... Read More →
avatar for Conrad Kennington

Conrad Kennington

Principal Machine Learning Engineer, Kount
avatar for Casey Kennington

Casey Kennington

Assistant Professor, Boise State University

Tuesday October 8, 2019 9:00am - 10:00am MDT
Trailhead Boise