Check back for 2018 Capital Data Summit agenda updates. In the meantime, please feel free to take a look at the 2017 Capital Data Summit agenda topics below for reference.
Registration and Networking Breakfast in Exhibit Hall
Sid Banerjee, Founder and Vice Chairman, Clarabridge
Role of the CDO
Chief Data Officers (CDOs) from the private sector and federal government will explore the role of the CDO and provide insight on how the role is evolving. The panel will address the relative adoption of big data and analytics within their respective organizations and identify obstacles that they have or currently are facing in the performance of their role. The CDOs also will discuss big data and analytics investments that their organizations are making or plan to make over the next 12 to 24 months.
Susan Burke, Vice President, Single Family Data Delivery Services, Freddie Mac
Scott Hallworth, Chief Data Officer & Chief Model Risk Officer, Capital One
Timothy Kropp, Senior Advisor to the Chief Data Officer, HHS Office of the Inspector General
Barney Krucoff, Chief Data Officer, District of Columbia
Dr. Kirk Borne, Principal Data Scientist, Booz Allen Hamilton
VC and Growth Investing in Commercial and Government Data Opportunities
Investors of data and data-centric companies share approaches in analyzing, financing and building successful businesses. Panelists will also discuss the latest investing opportunities in the commercial and government markets.
Carter Griffin, General Partner, Updata Partners
Steve Murray, Partner, Revolution Growth
Julia Spicer, Executive Director, MAVA
Break and Exhibits
Meg Whitman, CEO, Hewlett Packard Enterprise
Lunch and Exhibits
What’s Next in Big Data & Analytics?
The trends in big data and analytics are continuously evolving around types of solutions, technologies and business use cases. Come hear what enterprise organizations, technology companies and executives are implementing and seeing in the industry as the next wave of innovations. Learn what challenges we may face as the big data ecosystem evolves. Hear what is hot and what is not – learn the latest terminology – and get a view of the future as we look beyond the 2017 horizon in analytics and big data.
John Andersen, Chief Architect for National Programs, IBM Federal
Chris D’Agostino, Vice President of Technology, Capital One
Dan Denenberg, Senior Director of Informatics, FEPOC
Loren Hudziak, Solutions Architect, Google
Chiny Driscoll, Founder and CEO, MetiStream, Inc.
Identity Management in the Age of the Internet of Things
The management of identities and the broader lifecycle of access have been issues organizations have grappled with for many years. This is further complicated by the rapidly changing privacy and regulatory environments both at home and abroad. As we look to extend the management of identity-connected assets like vehicles, pacemakers, wearables, and other technologies, and to the individuals connected to them, we face the challenge in adopting a legacy data and identity model to the new realities posed by the proliferation of connected devices. Join our industry panelists in an open discussion on the emerging IoT environment, the risks to businesses and persons of operating in a connected world, and what organizations should be doing today to do it securely.
Paul Grassi, Senior Standards and Technology Advisor, NIST
Matt Hummer, Director of Analytics, Govini
Srdjan Marinovic, Chief Technology Officer, Wireless Registry
James Crimens, Director, Information Security, Privacy and Risk Services, PwC
Big data and IoT have advanced the technology available to citizens and cities. This panel will explore what city leaders expect from smarter cities initiatives and the challenges that they face from data, policy, political and organizational perspectives. Additionally, the panel will examine the progress that some smart cities have achieved, explore the factors that make building smart cities possible and look at the security and privacy concerns associated more connected data.
Anuj Agrawal, Chief Marketing Officer, Earth Networks
Philip Bane, Managing Director, Smart Cities Council
Dr. Sallie Keller, Director and Professor of Statistics, Social and Decision Analytics Laboratory, Biocomplexity Institute of Virginia Tech
Michelle Rudnicki, Vice President Industry Solutions Sales, IBM
Help Wanted: Defining and Finding Data Analytics Talent
The demand for workers skilled in data analytics continues to grow and big data companies are struggling to find qualified employees with the right skillsets for their open positions. This panel will explore the qualifications required in a big data workforce, discuss how and where they currently find their employees and share best practices for sourcing talent through academic partners.
Bob Aldrich, Chief Financial Officer, Zoomdata
John Balaguer, Vice President, Engineering, Intelligence, Information and Services (IIS), Raytheon
Dr. Ali Eskandarian, Dean, Virginia Science & Technology Campus and College of Professional Studies, The George Washington University
Steve Partridge, Vice President of Workforce Development, Northern Virginia Community College
Stephen Barkanic, Senior Vice President and Chief Program Officer, Business-Higher Education Forum
Break and Exhibits
Whose Data Is It Anyway? Ethical Implications of a Big Data World
The explosion of information over the past several years has led to a scramble to understand the effects of collecting, storing, sharing, analyzing and interpreting data. The potential for impact on policy, media, economics, education, healthcare and on our social fabric means that the data itself, as well as the algorithms used to analyze it, hold a lot of power. Questions of ownership, governance, tools, privacy and social impact are at the heart of big data. This panel will discuss the complexities and power of social contracts, legal implications of the use and analysis of data, as well as the idea of algorithmic integrity and the responsibilities of people behind it. The group will also discuss the rise of the term “fake news” and the impact of data journalism and access to media. As the landscape continues to change, we must continue to evolve our thinking on the ethical, legal, moral and policy implications of big data.
PV Boccasam, General Partner, Novak Biddle Venture Partners
Emilio Garcia-Ruiz, Managing Editor for Digital, The Washington Post
Rachelle Hollander, Director, Center for Engineering Ethics and Society, National Academy of Engineering
Linda LeCraw, Associate General Counsel, Inova Health System
Arlyn Burgess, Associate Director for Operations and Strategic Initiatives, Data Science Institute, University of Virginia
Dr. Walter Scott, Founder, Executive Vice President and Chief Technical Officer, DigitalGlobe