Annual Big Data for Intelligence Symposium

Transcription

1 Defense Strategies Institute professional educational forum: 5th Annual Big Data for Intelligence Symposium ~Leveraging Big Data and Predictive Analytics to Support Mission Success~ October 25-26, 2017: Mary M. Gates Learning Center 701 N. Fairfax St. Alexandria, VA 22314

2 Program Design & Goal: DSI s 2017 Big Data for Intelligence Symposium provides members within the Intelligence Community the chance to have an open discussion about the challenges and opportunities that exist when seeking to transform large quantities of disparate information into actionable intelligence. This educational forum will provide US military commands, government agencies, academia, and technology providers with the opportunity to explore more effective and efficient ways to leverage the power of big data for intelligence purposes. The goal of this year s forum is to continue to develop substantial progress towards applying and exploiting data to successfully interpret and solve complex national issues. This forum will center on leveraging big data and predictive analytics to enhance decision-making in missioncritical scenarios. In an increasingly congested informational environment, it is crucial the communication remains constant to remain competitive in the big data world. Operating Guidelines: DSI s Symposium directly supports IC and DoD priorities by providing a conduit for officials to efficiently reach audiences outside of their respective offices that directly impact their department's mission success, at no charge to the government, and in an efficient expenditure of time. DSI s Symposium will provide a forum to address and improve internal and external initiatives, meet with and hear from partner organizations, disseminate vital capability requirements to industry, increase visibility within the larger community, and generally support their mission. * This Symposium is open and complimentary to all IC, DoD and Federal employees and is considered an educational and training forum. (Industry and academia members are charged a fee of attendance) This Symposium is CLOSED TO PRESS / NO RECORDINGS General Target Audience: U.S Military Services, members of the Intelligence Community, Government Agencies, Academia, and U.S. Technology Solution Providers -Utilizing big data analytics in the information enterprise environment -Development of a common operating picture from data stored in cloud to force availability of information -Implementation of big data for disparate data and accompanying analytic capabilities Specific topics to be discussed include: -Usage of intelligent machines and analytics to help decision making, reduce operational costs, increase reliability of systems, increase productivity, and increase user experience -Leveraging big data methods to empower combat operations -Usage of data mining and big data to make effective choices and increase predictability -Applying predictive analytics as a significant forecast benefit in staying ahead of threats and identifying global hot spots -Mining information and mass data sets to effectively solve complex problems -Promoting security by relying on commercially supported open source platforms for big data analytics

3 October 25, :00 8:45 Registration and Light Breakfast Reception Open 8:45 9:00 Moderator Opening Remarks Harry Wingo (Confirmed) Faculty, Cybersecurity Studies, icollege, National Defense University 9:00 9:45 Keynote Remarks: Applying Data Analytics to Support IARPA s Mission of Intelligence Advantage -Using Data Analytics capabilities to compliment human analysis -Harnessing data through advanced technical tools to prepare for future threats -Understanding the scope and future tools needed for effective data analysis Dr. Jason Matheny (Confirmed) Director IARPA 9:45 10:30 How Warfighters Actively use Big Data in Today s Environment -The real-world significance and impact of collocating developers and analysts in the development and deployment of tactical capabilities -Keeping up with the constant changes of data feeds and formats into big data systems; impacts on data ingestion, storage, and data analysis -Rapidly transforming an organization (people and technology) to SecDevOps to accelerate the warfighter requirements-to-deployed capability from months to days (and sometimes hours) -Democratization of data science and machine learning to directly empower the analyst and warfighter Leo Garciga (Confirmed) Chief Technology Officer/J6 Chief Joint Improvised-Threat Defeat Organization DoD 10:30 11:00 Networking Break & Exhibits 11:00 11:45 Usage of Big Data Technologies to Address Complex Challenges -Applying big data to solve difficult challenges in a costly manner -Implementing advanced and predictive analytics to enhance DoD decision-making -Exploiting big data analytics for data efficiency Kevin Garrison (Confirmed) Chief of Analytics DCIO DoD 11:45 12:30 Predictive Analysis and Big Data Applications to Consolidate Data in the Air Force -Utilizing machine learning/predictive analysis for future decisions, activities, and training programs -Solidifying and validating data to ensure its integrity and timeliness -Employing enterprise level security and access controls to protect stored data 12:30 1:30 Frank Konieczny, SES (Confirmed) CTO Office of Information Dominance, and CIO Air Force Networking Lunch

4 1:30 2:15 Leveraging the Application of Big Data to Improve Sailor Readiness -Usage of intelligent machines and analytics to help decision making, reduce operational costs, increase reliability of systems, increase productivity, and increase user experience -Enhanced focus on digital including predictive data analysis and big data to improve the lives of sailors -Utilizing big data analytics to better understand the lifecycle of various aircraft parts Margaret Palmieri (Confirmed) Director Navy Digital Warfare Office OPNAV N2/N6 2:15 3:00 Identifying Patterns to Predict Crime with Advanced Data Analysis Technology -Simplifying the vast and disparate amounts of data from various sources to -Mining information and data in connecting different details to solve complex problems -Predicting future crimes or terrorist attacks based on compiled actionable intelligence Joseph Mitchell, SES (Confirmed) Section Chief Enterprise Data Analytics Section FBI 3:00 3:30 Networking Break & Exhibits 3:30 4:10 Sterling Computers: Technology Session The Big Picture of Big Data -The Problem Space of Big Data and Advice on how to move forward -Big Data Concepts and Overview -Sterling s Enterprise Data and Analytic Service (EDAS) Overview -EDAS Business Concepts Scott McDuff Chief Technical and Consulting Architect Sterling Computers 4:10 4:55 Advancing Data Analytics to Adequately Meet Soldier Needs -Securing government data with respect to fulfilling necessary requirements with ever-changing technology -Efforts to tailor cloud technologies to fit a specific agency s missions -Understanding the shift to an enterprise architecture structure to further advance networks systems Thomas Sasala (Confirmed) Director/Chief Data Officer Army Architecture Integration Center CIO/G-6 4:55 5:40 Promoting Big Data Analytics tools for Enhanced Quality in Data Science -Enabling Big data Analytic tools for interoperability, portability, reusability, and extensibility -Allowing data scientists, engineers, researchers to increase productivity through data science and analytics tools -Encouraging the vital and growing Big Data community with external stakeholders including commercial, academic, and government sectors Wo Chang (Confirmed) Digital Data Advisor NIST

5 October 26, :15 8:45 Registration and Light Breakfast Reception Open 8:45 9:00 Moderator Opening Remarks Harry Wingo (Confirmed) Faculty, Cybersecurity Studies, icollege, National Defense University 9:00 9:45 NASA s Objective in Enhancing the Way to Address Big Data Sets -Efforts to increase the control of data and minimize data sprawl -Reduce the complexity of IT security and implementation -Simplifying the usage of cloud for providers and end users Karen Petraska (Confirmed) Program Executive Computing Services NASA 9:45 10:30 The IC IE Data Strategy: Making Data an IC Asset -Developing and institutionalizing a strategic data framework -Ensuring data is appropriately protected, shared, and handled across all security fabrics -Providing scalable data services that meet the IC s needs for Big Data -Fostering a culture that encourages and rewards data-centric behaviors Steve Prosser (Confirmed) IC Chief Data Officer Office of the Director of National Intelligence 10:30 11:00 Networking Break & Exhibits 11:00 12:00 Panel Discussion: Applying Predictive Analytics and Movement to the Cloud to Extract Actionable Information This panel will bring together Government and educational leaders to discuss the impact of predictive analytics to derive the most relevant and significant data in high-volume data sets. In addition, panelists will discuss how due to the mass amount of information available, predictive analytics, migration to cloud technologies, and data mining has emerged as the most effective solution to tackle big data complexities across various government sectors. Moderator: Alainna White (Confirmed) Assistant Director, Institute for Data-Intensive Engineering and Sciences, Johns Hopkins University Panelists: Richard Eng (Confirmed) Associate Department Head, Applied Software Engineering The MITRE Corporation Dr. Seth Goldstein (Confirmed) Program Manager, IARPA Dr. Daniel Gerstein (Confirmed) Senior Policy Researcher, RAND Corp. 12:00 1:00 Networking Lunch

6 1:00 1:45 FEMA s Approach to Creating Data-Driven Decisions -Using OpenFEMA to help advance machine-readable data -Implementing analytics to assist in pattern-detecting and accessibility -Mastering data governance to avoid data risks Ted Okada, SES (Confirmed) CTO FEMA 1:45 2:30 Initiatives and Efforts to Target Big Data Complexities -Development of a graph analytics processor architecture focused on data-involved applications -Application of a data-handling platform for analyzing and making sense of massive data volumes -Efforts towards meeting the challenge of understanding an increasing torrent of data Trung Tran (Confirmed) Laboratory of Physical Sciences 2:30 2:45 Networking Break & Exhibits 2:45 3:30 NSA s Usage of Big Data to Enhance National Security Systems -Protecting data against capabilities that exist in limited form including quantum computing -Usage of big data to simplify complex patterns and retrieve actionable information -Initiatives of NSA s Technology Transfer Program such as Aladdin, to search through mass data sets Ben Wood (Confirmed) Subject Matter Expert Strategist Data Warehouse Platforms NSA 3:30-4:15 Perspective Towards Big Data Strategy and Initiatives Across the DoD -Investment and efforts towards data governance programs to match big data initiatives and safeguard information -Leveraging big data resources, program requirements, and best practices to advance analytical goals Dr. James Travis (Confirmed) Chief, Cyber Situational Awareness CyberNetOps Solutions DISA 4:15 End of Symposium 2017 Platinum Sponsor