Companies have been capturing and analyzing data with sophisticated tools for a long time. In recent years, though, two forces have combined to change what’s possible: we can collect and store vastly more data than ever before, and we have powerful new capabilities, like machine learning, to analyze it.
Companies that do this well benefit in many ways. Mike Olson shares examples of real-world machine learning applications, explaining how they matter to business. Mike also explores a variety of challenges in putting these capabilities into production—the speed with with technology is moving, cloud versus in-data-center consumption, security and regulatory compliance, and skills and agility in getting data and answers into the right hands—and outlines proven ways to meet them.
Mike Olson cofounded Cloudera in 2008 and served as its CEO until 2013, when he took on his current role of chief strategy officer. As CSO, Mike is responsible for Cloudera’s product strategy, open source leadership, engineering alignment, and direct engagement with customers. Previously, Mike was CEO of Sleepycat Software, makers of Berkeley DB, the open source embedded database engine, and he spent two years at Oracle Corporation as vice president for embedded technologies after Oracle’s acquisition of Sleepycat. Prior to joining Sleepycat, Mike held technical and business positions at database vendors Britton Lee, Illustra Information Technologies, and Informix Software. Mike holds a bachelor’s and a master’s degree in computer science from the University of California, Berkeley.
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