14–17 Oct 2019
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Mark Madsen is a Fellow at Teradata, where he’s responsible for understanding, forecasting, and defining analytics ecosystems and architectures. Previously, he was CEO of Third Nature, where he advised companies on data strategy and technology planning, and vendors on product management. Mark has designed analysis, machine learning, data collection, and data management infrastructure for companies worldwide.
16:00–16:40 Thursday, 17 October 2019
Location: Windsor Suite
Mark Madsen (Teradata)
The growing complexity of data science leads to black box solutions that few people in an organization understand. Mark Madsen explains why reproducibility—the ability to get the same results given the same information—is a key element to build trust and grow data science use. And one of the foundational elements of reproducibility (and successful ML projects) is data management. Read more.
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