In our last session Sadie St. Lawrence discussed some real-life context to what the terms Big Data, Data Science, Machine Learning, AI, and Cognitive Applications mean. In this session Rick & Jim will continue that line of thinking and discuss what these evolving concepts mean to management, how managers can use data science and the kinds of questions they can (and can’t) expect Analytics to address for them. They will also explain what makes a good analytic question and how managers should interpret the analytic insights and results they receive from the data science teams. By the end of this talk, you should understand why it is so important that every manager, regardless of function or industry, understand the power of data and knows how to leverage the potential of their data science teams. Rick and Jim will end the evening with a facilitated discussion around some typical management challenges or concerns you may be facing in relation to data science.
We will have an informal interactive panel discussion moderated by our Chair, Dr Harsh Verma
Networking and Pizza at 5:30PM, Talk at 6:00 PM. Come and meet notable computer professionals in greater Sacramento.
About the speakers
Rick Hutley, Program Director and Professor of Practice, University of Pacific’s MS Data Science.
Rick holds an MS in Business Administration from Cranfield University in the UK and a Honors degree in Computer Science from The University of Hatfield in the UK. Rick is passionate about sharing his interests in technology, Data Science and Analytics.
Jim Hetrick, Assistant Program Director and Professor of University of Pacific’s Physics and MS Data Science
Jim received his Ph.D. from the University of Minnesota in theoretical particle physics and went on to hold postdoctoral research positions at ETH in Zürich, the University of Amsterdam, the University of Arizona, and Washington University in St. Louis, before coming to the University of the Pacific. Jim is passionate about Particle Physics, Astronomy and everything to do with Data Science and Analytics.
Dept. of Technology, County of Sacramento
799 G Street, Room 221, Sacramento, CA 95814
Non-Members: $10 per person (till seats available)
(Membership: $30 Annually)