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Technologies That Drive Watson: Predictive Analytics and Machine Learning (April 26th, 9:00 AM to 12:00 PM)


One of the key technologies for making the Watson Jeopardy Computer so smart is Machine Learning, also referred to as Predictive Analytics. This seminar will explain how this technology was used to power Watson and how it can be used to make your organization smarter. By using this technology on your existing data, you will be able to obtain new insights and convert these insights into actions that benefit your agency's mission.

In today's environment, there is a significant decrease in the ability of government managers to rely only on experience and intuition to make decisions. The old mental models are insufficient, and the pressure to respond faster with greater insight to both internal and external events is increasing. The solution is to utilize machine learning technology to augment and support decision making.

This technology helps your organization predict with confidence what will happen next so that you can plan and carry out strategies that improve decision making. By applying predictive analytics solutions to all data within your organization, including both structured and text data, you can uncover unexpected patterns and associations and develop models to guide your business processes. This can help improve your operational efficiency, identify fraud, and even anticipate equipment maintenance issues.

Learn about the techniques that consulting company IDC said in their report, "The Business Value of Predictive Analytics, June 2011" provided an ROI of about 250%.

For presentation materials, please email us at:

Registration is now closed.
Washington D.C., United States

600 14th Street, NW
Washington D.C., Washington, D.C.
United States

Time Description
8:30 AM - 9:00 AM Continental Breakfast and Check-In
9:00 AM - 9:15 AM Welcome: Frank Stein, Director, Analytics Solution Center
9:15 AM - 10:00 AM Watson: Beyond Jeopardy
Arnold Greenland, IBM Distinguished Engineer - Business Analytics and Optimization.
10:15 AM - 10:45 AM Predictive Analytics and Machine Learning: An Overview
Bill Haffey, Manager, Solutions Architects, SPSS Federal
10:45 AM - 11:00 AM Break - Light Refreshments Provided
11:00 AM - 11:45 AM Preparing for Watson in Healthcare: A Case Study
Ted Morris, Architect and Managing Consultant - Emerging Technologies

11:45 AM - 12:00 PM Conclusions and Q&A: Frank Stein, Director, Analytics Solution Center