Webinar

Real World Applications of Data Science

Wednesday, June 1, 2016
12:00 pm - 1:00 pm
Steven Hillion, Alpine Data

Data science is one of the hottest professional fields at the moment — but other than solving problems with data, what are the real world applications that this work can inform or improve? Steven Hillion, co-founder of Alpine Data, will share some interesting applications of data science he’s seen along the way. This session will give you a chance to get an inside look at the real problems that data scientists are solving today and to ask questions about the space from an industry practitioner and veteran.

Steven Hillion is the co-founder and chief product officer at Alpine Data. Hillion has been leading large engineering and analytics projects for fifteen years. Before joining Alpine Data, he founded the analytics group at Greenplum, leading a team of data scientists and also designing and developing new open-source and enterprise analytics software. Before that, he was vice president of engineering at M-Factor, Inc. (acquired by DemandTec) where he built analytical applications that became a global standard for demand modeling. Earlier, at Kana Communications, Steven led the engineering group during the two largest releases of its flagship product. At Scopus Technology (later Siebel Systems) he co-founded development groups for finance, telecom and other verticals. He received his Ph.D. in mathematics from the University of California, Berkeley, and was a King Charles I Scholar at Oxford University.


To connect to the webinar

  1. Visit http://berkeleydatascience.adobeconnect.com/myseminar/

  2. Type in your name and enter the room as a guest. There may be a short waiting period; please be patient.

  3. When you get into the room, a popup window will appear with instructions to connect your audio.

    • If you are accessing the session from within the United States, click on the “Dial-Out” option, type in your phone number and choose “Join.” You will receive a call directly from the room's conference line. Answer it to connect to the lecture's audio.

    • If you are accessing the session from outside of the United States, click on the “Dial-In” option. The conference number and participant code will appear so that you can access the audio from your phone or Internet phone service.

To run a compatibility test to ensure that your system is properly configured, please go to http://link.datascience.berkeley.edu/907SFM2620001Lz004c9Q00

Last updated:

May 31, 2016