Can We Automate Predictive Analytics – Thomas Dinsmore ODSC Boston 2015
ConferencesModelingPredictive AnalyticsODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015 Open Data Science
Recent news about the pending shortage of data scientists prompts speculation about automation: will machines replace human analysts? We propose a model of automation, and briefly review progress in automated machine learning over the past twenty years. Summarizing the current state of the art, we look at some of the remaining challenges, and the implications for practicing data scientists.
Thomas W. Dinsmore currently serves as a Knowledge Expert in Customer Analytics at The Boston Consulting Group. Previously, Thomas served as Director of Product Management for Revolution Analytics; as an Analytics Solution Architect for IBM Big Data Solutions; and as a Principal Consultant for SAS Professional Services.
Thomas brings to his current role more than twenty-five years of experience in predictive analytics. He has led or contributed to analytic solutions for more than five hundred clients across vertical markets and around the world, including AT&T, Banco Santander, Citbank, Dell, J.C.Penney, Monsanto, Morgan Stanley, Office Depot, Sony, Staples, United Health Group, UBS and Vodafone. His international experience includes work for clients in the United States, Puerto Rico, Canada, Mexico, Venezuela, Brazil, Chile, The United Kingdom, Belgium, Spain, Italy, Turkey, Israel, Malaysia and Singapore.
Although his roots are in hands-on customer analytics, in the past fifteen years Thomas has expanded the scope of his experience to include analytic software applications and broader solutions including database integration and web applications. As a project lead, he has worked with DB2, Oracle, Netezza, SQL Server and Teradata.
Thomas is certified in SAS, and has working experience with the leading analytic tools available in the market today, including SAS. R, SPSS, and Oracle Data Mining.