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Tuesday, March 28 • 9:45am - 10:30am
Machine Learning & Data Science

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What is a machine learning data scientist? Many companies struggle with the concept of what machine learning is and what it does. Machine Learning is quickly becoming a barrier to entry for a product. Companies will soon not consider a piece of software or app that does not have machine learning built into it. But Machine Learning skills are extremely hard to find.

Many companies are trying to fill the need using a regular data scientist (also hard to find). This session will discuss the necessary skill sets of a Machine Learning data scientist, the parallel data scientist skills which can be cross trained, and how to manage those people once they get the right training. It will also cover the value proposition of ML and how it applies to your business.

avatar for Gordon Summers

Gordon Summers

Principal, Cabri Group
Gordon was a 20 year veteran of ConAgra foods where he spent his time overseeing their vast supply chain database warehouse. This gives Gordon advanced knowledge of how to store very large datasets and structure them in such a way to use machine learning to extract recommendations that elevate risk and optimize success. Gordon has lead projects spanning from labor reduction to network optimization including: transportation efficiency, real time... Read More →

Nate Watson

President, Contemporary Analysis
Nate Watson joined Contemporary Analysis (CAN) in 2011 as a business development officer and project manager to help companies understand how to implement data driven decision making into their culture. 33 companies later, he was known in the region as thought leader in how predictive analytics can help bridge the gap between information and actionable intelligence. In 2013, he was tasked with figuring out how to help the political campaigns... Read More →

Tuesday March 28, 2017 9:45am - 10:30am
Dapper III