Dr. Alex Liu, Chief Data Scientist, IBM & Director, RMDS Lab
This event is free and open to the public but registration is required. RSVP here.
Abstract: More and more organizations are embracing data science, but the success ratios of data science projects have been low — at the 30 percent level for years per surveys conducted by Gartner and others. To attack this problem and help mitigating risks of other associated issues such as the high turnover ratio of data scientists, an ecosystem approach with AI is emerging. In this talk, Alex Liu as one of the pioneers and a lead developer of this approach will start from defining the data science ecosystem approach and discuss the needs for expert guided AI assistance to social research. He will present a few implementation methods with some open source tools, and introduce a few success cases by utilizing IBM Watson studio, including a city open data ecosystem and a weather data ecosystem.
This event is co-sponsored by:
Harvard Data Science Initiative
Institute for Applied Computational Science
Institute for Quantitative Social Science
Center for Geographic Analysis
Dr. Alex Liu is one of IBM's data science thought leaders, currently serving as a Chief Data Scientist. He leads a Chief Data Officer training program and is in charge of an initiative for bringing AI to social science and business research. Before joined IBM in 2013, Dr. Liu worked as a chief data scientist for a few companies including iSKY and Retention Science. Previously, Dr. Liu taught advanced quantitative methods to Ph.D. candidates in the University of Southern California and the University of California at Irvine, and consulted for many well-known organizations such as the United Nations and Ingram Micro. Alex has a M.S. of Statistical Computing and a Ph.D. of Sociology from Stanford University.
Harvard University Center for Georgraphic Analysis (CGA)