People, Data & Computation - New York - July 21, 2015
Date and time
Location
Gansevoort Hotel Park Avenue - Penthouse
420 Park Avenue S New York, NY 10016Description
Join Trifacta Co-founder & CSO Joe Hellerstein, special guest Cloudera’s Mike Olson & Moderator Jake Porway of DataKind for an engaging evening discussing the evolving world of data & analytics. Stay with us after the panel for networking over drinks and appetizers.
Agenda 5:00pm - 5:30pm Registration and Networking 5:30pm - 6:15pm People, Data & Computation Panel 6:15pm-6:30pm Question & Answers 6:30pm-8:30pm Networking Reception Featured SpeakerJoe Hellerstein - Trifacta
Joe is co-founder and chief strategy officer at Trifacta and chancellor’s professor of Computer Science at UC Berkeley. His work focuses on data-centric systems and the way they drive computing. He is an ACM Fellow, an Alfred P. Sloan Fellow, and the recipient of three ACM-SIGMOD Test of Time awards for his research. He has been listed by Fortune Magazine among the 50 smartest people in technology, and MIT Technology Review included his work on their TR10 list of the 10 technologies most likely to change our world.
Special Guest SpeakerMike Olson - Cloudera
Mike co-founded Cloudera in 2008 and served as its CEO until 2013 when he took on his current role of chief strategy officer (CSO.) As CSO, Mike is responsible for Cloudera’s product strategy, open source leadership, engineering alignment and direct engagement with customers. Prior to Cloudera Mike was CEO of Sleepycat Software, makers of Berkeley DB, the open source embedded database engine. Mike spent two years at Oracle Corporation as vice president for Embedded Technologies after Oracle’s acquisition of Sleepycat in 2006. Prior to joining Sleepycat, Mike held technical and business positions at database vendors Britton Lee, Illustra Information Technologies and Informix Software. Mike has a Bachelor’s and a Master’s Degree in Computer Science from the University of California, Berkeley.
Panel ModeratorJake Porway - DataKind
Jake is a machine learning and technology enthusiast who loves nothing more than seeing good values in data. He founded DataKind™ in the hopes of creating a world in which every social organization has access to data capacity to better serve humanity. He was most recently the data scientist in the New York Times R&D lab and remains an active member of the data science community. He holds a B.S. in Computer Science from Columbia University and his M.S. and Ph.D. in Statistics from UCLA.
Organized by
The promise of Big Data analysis is direct access to more data, in raw formats, directly from the source. This includes well structured data as well as data that's not yet fit for analysis. Trifacta enables analysts of all backgrounds, technical and non-technical, to access and transform raw data into actionable data. With a user experience designed to support agile data exploration, Trifacta combines machine learning with human input to speed data transformation.