Registration and Networking Breakfast in Exhibit Hall
Bill Ruh, CEO, GE Digital, and Senior Vice President and Chief Digital Officer, GE
University Data Challenge
Veteran suicide has become a pressing national issue in the United States. While Veterans make up just under nine percent of the U.S. population, Veterans account for over 18 percent of all suicides in the U.S. (VA.gov report)
During the Capital Data Summit’s new University Challenge, student teams from the region’s universities will leverage data science tools and techniques to analyze the demographics of Veteran suicide, propose ways in which social media and other data can be used to identify and locate at-risk Veterans, and offer solutions to addressing the issue.
Teams will be judged on how well they are able to explore the available data, their overall approach and use of modeling, visualization and other big data techniques, and their creativity in presenting solutions to the challenge questions.
George Mason University
The George Washington University
University of Virginia
Phil Coachman, Cloud Solution Architect, Microsoft
Dan Orbach, Cloud Customer Engineer, Google
Claire Walsh, Principal Consultant, Data & Analytics, Excella Consulting
Spotlight on a Successful Local Big Data Firm and One of Its Local Venture Capital Investors
Hear from David Link, CEO of ScienceLogic, a cloud management firm, and Patrick Kerins, special partner, New Enterprise Associates, as they share their unique insights into establishing and growing a successful big data firm in the Greater Washington region. During this conversation, they will discuss lessons learned and the what, why and how of investing in this region.
Patrick Kerins, Partner, NEA
David Link, CEO, ScienceLogic
Rodney Lusk, Director, National Marketing Division, Fairfax County Economic Development Authority
Break and Exhibits
Alan Halachmi, Senior Manager, Solutions Architecture, Amazon Web Services
Ben Snively, Principal Solution Architect, Data and Analytics, Amazon Web Services
Lunch and Exhibits
Opportunities, Challenges and Future Trends in Advanced Analytics
The democratization of AI via ready-to-consume cognitive services such as Text Analytics, Knowledge, Speech and Search has resulted in building intelligent applications resulting in new interactive canvas such as Bots and augmenting traditional applications with new capabilities transforming business processes and engaging various stakeholders in new ways. This panel is designed to help you imagine ways to leverage these solutions to drive profits, growth and business success. The panel will include a mix of academia and industry professionals and will present a number of interesting real-world use cases.
Arief Bavan, Data Solution Architect, Microsoft
Dr. Uday Kamath, Chief Analytics Officer, Digital Reasoning
Nathan Self, Research Associate, Computer Science and Discovery Analytics Center, Virginia Tech
Dr. Onur Seref, Associate Professor, Business Information Technology, Pamplin College of Business, Virginia Tech
John Eberhardt III, CTO, ATA, LLC
Big Data in Government
The federal government produces, stores and manages some of the largest data sets in the world. In addition, big data can enable government organizations to be smarter, improve their productivity, and serve the needs of their stakeholders by improving decision making in individual agencies and across the government ecosystem. In this session, a panel of federal government experts will share their perspectives on how big data can improve operations and serve citizens, and discuss the opportunities – and challenges – ahead.
Isaac S. Cronkhite, Vice President, Enterprise Analytics, United States Postal Service
Jennifer Hanna, Enterprise Data and Information Management, General Services Administration
Tim Perez, Enterprise Solutions Architect, Tantus Technologies
David Gagliano, CTO, Global Solutions Division, General Dynamics Information Technology
Reception and Announcement of University Challenge Winner