Internationally recognized data science and predictive analytics expert Dean Abbott will present a talk on the “Five Things You Need to Know about Data Science that You Haven’t Learned in School” as a part of the Kaplan Institute’s Mesirow Luminaries Speaker Series. Abbott will join Howard Tullman, executive director of Illinois Institute of Technology’s Ed Kaplan Family Institute for Innovation and Tech Entrepreneurship (Kaplan Institute), for a fireside chat. The event is open to all students and faculty, as well as members of the Chicago business and tech community.
October 2, 12:30 p.m. to 1:45 p.mTellabs @ Kaplan Institute
3137 South Federal Street
Chicago, IL 60616
12:30pm Registration
12:45pm – 1:15pm Talk FIVE THINGS YOU NEED TO KNOW ABOUT DATA SCIENCE YOU HAVEN’T LEARNED IN SCHOOL
1:15pm – 1:30pm Fireside Chat with Howard Tullman
1:30pm – 1:45pm Q&A
BIG DATA: BIG WOWS OR BIG WOES
Every successful organization will need to implement a comprehensive information management strategy and an aggressive investment and recruitment plan in order to future-proof their business.
Kaplan Institute will assemble some of the industry’s most qualified experts in A.I., Data Analytics, IOT, Machine Learning and Active Computational Thinking to discuss the risks, rewards and challenges we are all facing and the ways in which strategic data management and manipulation will change our workplace, financial markets, competitive environments, healthcare, retail and business economics.
BIOGRAPHY
Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, in San Diego, California. Mr. Abbott is an internationally recognized data science and predictive analytics expert with over three decades of experience applying advanced machine learning algorithms, data preparation techniques, and model deployment strategies to real-world problems, in customer analytics, fraud detection, risk modeling, text mining, personality assessment, and more.
Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014, 2nd edition forthcoming in 2020) and co-author of IBM SPSS Modeler Cookbook. He is a highly regarded speaker at Predictive Analytics and Data Mining conferences and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.
He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).