Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Enabling data science in the enterprise

Mike Olson (Cloudera), Tom Smith (Office of National Statistics)
9:359:45 Thursday, 25 May 2017
Location: Auditorium
Average rating: ***..
(3.31, 13 ratings)

Data science and machine learning are powering some of the most ambitious business solutions of the time. In today’s world, a vibrant ecosystem of open data science tools is coupled with big data solutions to address a wide range of data science analyses at immense scale. Mike Olson and Tom Smith explain how the Office of National Statistics (ONS), the UK’s largest independent producer of official statistics, is leveraging data science to create repeatable, accurate, and transferable statistical research while decreasing time in developing models with better visibility and results.

Photo of Mike Olson

Mike Olson

Cloudera

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.

Photo of Tom Smith

Tom Smith

Office of National Statistics

Tom Smith is the managing director of the data science campus at the Office of National Statistics.