AI in DOD: Three Places to Get Started

Stephanie Meloni

By Stephanie Meloni, Market Intelligence Manager

The Department of Defense is considering artificial intelligence for everything from improved maintenance and repair of weapons systems to supply chain management and improving business processes. Industry can expect to see exponential growth once implementation takes off.

Consider Project Maven, for example. The DOD’s AI solution for analyzing imagery for intel purposes, has seen funding grow from $16 million in fiscal 2018 to $93 million in fiscal 2019 — a 480 percent increase!

Central to DOD’s AI implementation efforts is the Joint Artificial Intelligence Center. JAIC was created quickly to ensure that DOD effectively and ethically builds out its AI capabilities. The organization will look at AI cross-domain solutions across the service branches, as well as specific component projects.

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Security Is the Key to Growing Fed Blockchain Interest

Lloyd McCoy Jr.

By Lloyd McCoy, Market Intelligence Manager

Blockchain technology is gaining interest from the federal government. This secure, decentralized and interoperable solution can reduce IT security costs – and that checks all the boxes in federal procurement.

Things are moving pretty quickly with federal blockchain adoption, which is significant given how the government can drag its feet on new technologies. Back in July 2017, the GSA held the first U.S. Federal Blockchain Forum to pose uses for the technology from 100 federal managers.

Since then, blockchain requirements have shown up in more solicitations throughout the federal procurement process.

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AI in the Cards for DOD of the Future

Stephanie Meloni

By Stephanie Meloni, consultant

Across the Department of Defense artificial intelligence and machine learning are gaining real traction. And plans are in the works to establish a center dedicated to delivering AI solutions across the DOD, as well as a proposal for an AI and machine learning council as part of the FY19 National Defense Authorization Act.  DOD agencies are very interested in using AI to combat and overmatch potential adversaries — and there’s no shortage of use cases across the DOD. Going forward, technology companies will want to be aware of differences between customer environments before engaging with a potential customer.

Recently, early adapters gathered at an AFCEA DC luncheon to discuss recent developments and challenges in AI and machine learning. Here are some highlights.

DISA, an example of a non-tactical customer, is looking at how to use machine learning for cyber situational awareness. DISA uses commercial machine learning technologies and contractors for Acropolis and their Big Data Platform to combat cyber threats and attacks. AI can help them shift their cyber strategy from reactive to proactive.

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Which Agencies are Spending Big on Big Data?

Mohamad Elbarasse_headshot_7-23-2013_For WordPressby Mohamad ElbarasseAnalyst

As agencies take on a more data-centric focus to achieving their missions, it would appear as though FY 2014 is the year of big data and a slew of agencies have funded initiatives in play that will set the bar for what analytics can bring to the table. Agencies like DHS with tons of data are investing big to get it all under control. These investments coupled with the White House’s Open Data Policy, which dictates that agencies should be collecting or creating information in a manner that “supports the downstream information processing and dissemination activities,” signal a paradigm shift from hypothesis-driven to data-driven decision making and discovery at a federal level.

The National Science Foundation, Department of Defense, National Institutes of Health, Department of Energy, and the US Geological Survey at the Department of Interior received $200 million for research and development in the field of big data. These initiatives run the gamut from NIH’s 1000 Genomes Project that brings together the power of big data with Amazon Web Services cloud to make 200 terabytes of data on human genetic variation available to the public to the Defense Advanced Research Projects Agency’s (DARPA) XDATA program. The XDATA program will address challenges, such as developing scalable algorithms for processing imperfect data in distributed data stores. DARPA plans to invest $25 million a year through 2016 in XDATA.

According to Simon Szykman, dataCIO at the Department of Commerce, information sharing should be agencies’ first priority. Speaking at an AFFIRM & GITEC event in September, Szykman stated that one of the easiest ways to make big data investments more cost effective in the long run is by thinking about information sharing early on. That means that agencies are going to need help managing, standardizing, and ensuring the interoperability of their data. Vendors with products positioned to help with those tasks should gear their messaging towards addressing those needs and emphasizing long run efficiencies. Szykman went on to say that the purpose of opening up government data is not just to increase transparency, but to allow others to find value in the data. “We haven’t cornered the market on good ideas,” said Szykman, as he further elaborated that the biggest benefits of an open data policy are the things we can’t imagine today, but that can come about by making more data available to more people.  Szykman oversees Commerce’s $2.5 billion IT budget and the agency is slated to spend over $300 million on General Purpose Data and Statistics in FY2014.

Ken Rogers, Chief Technology Strategist at the Department of State, also spoke at the event and said that “Data is the primary sustainable asset in an organization.” Therefore, the proper maintenance, security, and analysis of that data are paramount to the success of the organization. Along with data management, data integration, and information sharing requirements, agencies will be in dire need of data security solutions to protect the integrity of their data. Expect to see more agencies taking on a data-centric outlook and be sure to emphasize that getting big data right the first time around can lead to some big savings down the road.

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