SOA Pilots: Federation of SOA and Semantic Medline Dr. Brand Niemann Director and Senior Enterprise Architect – Data Scientist Semantic Community AOL Government Blogger October 2,

Overview Key People: – Gus Hunt, CTO, CIA – Robert Ames, Senior VP for Technology, In-Q-Tel – Dr. George Strawn, Director, National Coordination Office, Networking and Information Technology Research and Development (NITRD) Program, OSTP, White House Big Data: – Transactions – Interactions – Conversations Four Vs: – Volume (Terabytes to Zettabytes) – Variety (Structured to Structured and Unstructured) – Velocity (Batch to Streaming Data) – Value (Worth the Extra Expense? Need Data Scientist) 2

Intelligence Community Love Big Data Gus Hunt, CTO, CIA

Big Data and the Government Enterprise 4 Robert Ames, Senior VP for Technology, In-Q-Tel Dr. George Strawn, Director, National Coordination Office, Networking and Information Technology Research and Development (NITRD) Program, OSTP, White House

Big Data Innovation Conference 5

Big Data Innovation Data Science 6

Big Data Innovation Dashboard 7

Panève’s ZettaLeaf & ZettaTree Products Scalable single level storage – Panève’s scalable single level storage model collapses the server, network, and storage by removing software and replacing them with memory system primitives. This eliminates all network and network-processing overhead associated with accessing storage and delivers a 10,000X increase in raw performance. 8

Big Data in Memory Innovation Story Met Jef Sharp, President, Panève: – Amazing fast access and massive storage – Big Data Supercomputer on My Mobile Device – John Hopkins University – Blackbook (CIA Cloud) I suggested: – Greylock Partners - #2 Data Scientist in the World (DJ Patil, Entrepreneur-in-Residence who built the first formal data science team at LinkedIn) Works for In-Q-Tel (Robert Ames, Senior VP for Technology, In-Q-Tel) Works for CIA (Gus Hunt, CTO, CIA) – Who Wants Big Data Supercomputer on Mobile Devices 9

Big Data Innovation Conference Book 10

Understanding Big Data Understanding Big Data: – Analytics for Enterprise Class Hadoop and Streaming Data This book is about big data: Big Data is a Big Deal! Big data is going to change the way you do things in the future, how you gain insight, and make decisions (the change isn’t going to be a replacement, rather a synergy and extension). This book to help you get quickly up to speed on this technology and to show you the unique things IBM is doing to turn the freely available open source big data technology into a big data platform; there’s a major difference and the platform is comprised of leveraging the open source technologies (and never forking it) and marrying that to enterprise capabilities provided by a technology leader that understands the benefits a platform can provide. By the time you are done reading this book, you’ll have a good handle on the big data opportunity that lies ahead, a better understanding on the requirements that ensures you have the right big data platform (as opposed to just technology), and have a strong foundational knowledge as to the business opportunities that lie ahead with big data and some of the technologies available. 11

YARC Data Solutions & Products Graph analytics at work: finding needles in a needle stack: – Many Big Data problems are about searching for things you know you want to find. It's challenging because the volumes of data make it like searching for a needle in a haystack. But it's easy because a needle and a piece of hay, though similar, do not look exactly alike. – But discovery problems are about finding what you don't know. Imagine trying to find a needle in a stack of needles. That's even harder. How can you find the right needle if you don't know what it looks like? How can you discover something new if you don't know what you're looking for? – In order to find the unknown, you often have to know the right question to ask. It takes time and effort to ask every question and you keep learning as you continue to ask questions. uRiKA dramatically shortens this cycle. In the same amount of time it took you to ask one question, we enable you to ask a thousand questions, making it more likely that you'll discover the answer that gives you a "uRiKA" moment - and helps you gain competitive advantage. – uRiKA specializes in discovering the unknown, the unpredicted - and completely unexpected. Learn how customers spanning government, financial services and healthcare organizations are able to find needles in needle stacks that change the balance in their favor. – YarcData's uRiKA: Big Data appliance for real time graph analytics (512 terabytes in memory) &

$100,000 YarcData Big Data Graph Analytics Challenge The YarcData Big Data Graph Analytics Challenge will recognize the best submissions of un-partitionable, big data graph problems. The Challenge is open until October 31, 2012, and will award prizes ranging from $3,000 to $70,

MITRE Big Data Analytics

October 4 th ACT-IAC Big Data Forum! Questions: – Do you have a Big Data challenge? – Do you face compliance issues from Big Data implementation? – How do you ensure a usable result from your Big Data Project? – Do you want to discuss these and other Big Data issues with more than 20 top level decision makers and thought leaders from government, including the Department of Defense, Homeland Security, and Energy, industry and academia as they explore ways to address the ever expanding challenges surrounding the processing and analysis of Big Data? Keynote Speaker: – Dr. George Strawn, Director, National Coordination Office, Networking and Information Technology Research and Development (NITRD) Program, OSTP, White House Venue: Grand Hyatt Washington, 1000 H Street, NW, Washington, DC Time: 12:30 – 6 p.m. MY NOTE: CANCELLED – WORKING TO DO AT 15 th CONFERENCE BASED ON JANUARY 24, 2013, PRESENTATION TO THE FEDERAL BIG DATA SENIOR STEERING GROUP 15

Innovation by Our Data Science Team Members: – See below (and anyone else that would like to join us) Presentations: – Semantic Information Integration within the Healthcare Sector – Eric Little, Orbis Technologies SlidesSlides – Using Semantic Medline on the New Cray Graph Computer for Medical Research – Victor Pollara, Noblis Slides Panel Discussion: Big Data and the Government Enterprise – Kate Goodier (Moderator, IC), and Dr. George Strawn (OSTP/NITRD/NCO), Dr. Eric Little (Orbis Technologies), Dr. Victor Pollara (Noblis), *Steve Reinhardt (Cray), and Dr. Tom Rindflesch (NLM) Please Think of Questions 16 * Note: Steve Reinhardt will not be able to be with us so Mark Guiton, Cray Director, Government Relations, will replace him.