How can you take advantage of predictive and prescriptive analytics for improving your business models? In this webinar, Stephen Smith, a well-respected expert in the fields of data science, predictive analytics and their applications, will explore how you can operationalise data science to unlock the power of these predictive models.
In conjunction with Information Builders’ analytics expert, Bruce Kolodziej, we will cover the definitions and use cases of prescriptive and prescriptive analytics, and how you can implement these models to the benefit of your organisation.
Stephen J. Smith is the research director for data science at the Eckerson Group. His unique perspective comes from his real-world experience in leading the teams that built the predictive analytics products Darwin (Thinking Machines), Discovery Server (Dun & Bradstreet), JogNog (G7 Research) and Optas. He has written extensively in the fields of data mining, machine learning, parallel supercomputing, text understanding and simulated evolution and published in the Communications of the ACM and IEEE Transactions on Pattern Analysis and Machine Intelligence. He has also authored two books for McGraw-Hill: “Data Warehousing, Data Mining and OLAP” and “Building Data Mining Application for CRM”. He has patents in the fields of predictive analytics, educational technology, big data, and machine learning. He currently serves as a lead mentor at the MIT Venture Mentoring Service and holds a BS in Electrical Engineering from MIT and an MS in Applied Sciences from Harvard University.
Bruce specializes in the predictive analytics solutions at information Builders, liaising with the Product, Marketing, Field Sales, and Customer Success teams and brings more than 20 years of experience in the building and deployment of advanced analytics applications for a variety of use cases and industries.