Name: Machine Learning: Academia vs. Industry
Start: 2018-10-18T14:15:00-0600
End: 2018-10-18T15:15:00-0600

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Artificial intelligence currently stands somewhere between simple OCR and Lt. Commander Data. How far exactly has machine learning and artificial intelligence come? How does that answer differ between the academics researching new frontiers and the industrialists building ML/AI products for market?

Brothers Casey Kennington (of Boise State) and Conrad Kennington (of Kount) discuss the current state of ML/AI and share how their combined academic and commercial backgrounds have led them to innovate the field of fraud detection and natural language processing.

Moderators

Dom Ramirez

Founder, Beta Canon

(See my speaker profile under the "Speakers" tabs to see the 2 fireside chats I'm hosting this year.)Dom Ramirez is a lifelong entrepreneur, software developer and designer. He has been building startups and leading software teams for more than a decade.Dom is the founder of Beta... Read More →

Speakers

Casey Kennington

Assistant Professor, Boise State University

I seek to understand understanding. I use my background in computer science, cognitive science, linguistics, and natural language processing, to work with robots and personal assistants to help them learn how to process human speech. I earned my PhD from Bielefeld University in Bielefeld... Read More →

Conrad Kennington

Senior Machine Learning Engineer, Kount Inc

I currently lead the development efforts on the AI and Machine Learning team at Kount, a real-time fraud prevention SaaS company in downtown Boise. I’ve been with Kount for 12 years, and was part of the initial core development team. In my spare time I teach senior and graduate... Read More →

Thursday October 18, 2018 2:15pm - 3:15pm MDT
JUMP (The Loft, 5th Floor)

Tech Track