AI Is on the Upswing in State Government

By Rachel Eckert, SLED Manager

When it comes to artificial intelligence, most states are just beginning to uncover its potential.

As I discussed in a recent webinar, AI usage thus far has been mostly experimental. Recent survey data from the Center for Digital Government demonstrates that nearly a third of those surveyed about their current deployment of AI are doing so through proof-of-concept projects.

While widespread use of AI is not taking place, the good news is that the share of states NOT using AI is only 12% — meaning there are far more states open to using AI than not. This is a wide-open field with few standards or common threads from project to project and provides an opportunity for AI vendors to approach state and local governments with their technology. Read more of this post

How the DOD’s FY19 Modernization Priorities Align to Technology

Stephanie MeloniGlobal communication concept. Technological abstract background.

By Stephanie Meloni, consultant

The Department of Defense continues to evolve at a fast pace to modernize and stay ahead of adversarial threats. This past year has brought many changes in terms of organizations within the DOD. To name a few, we have the Army Futures Command, the Joint Artificial Intelligence Center and the Defense Innovation Unit, that dropped the “X” (for experimental), to imply its permanent role in helping the DOD stay on the cutting edge of technology.

These organizational shifts and changes show the DOD’s response to the changing warfighting environment. Last year, much of the priority was on restoring readiness—now the Department has shifted to modernization. Increases in budget (and actual appropriations) are allowing decision makers to more strategically align funds to the investment priorities that need the most attention. IT spending is set to peak in FY19, so it will be a critical year for technology companies to come in and help the DOD with solutions that will help them stay focused on modernization. Here are just a few of those priorities: Read more of this post

National Cyber Strategy – What Does It Mean for Those Selling Security Tools to the Government?

Lloyd McCoy Jr.

By Lloyd McCoy, Market Intelligence Manager

You’ve probably heard of the release last week of both the National Cyber Strategy and the Department of Defense (DOD) Cyber Strategy. Some of the priorities highlighted are robust information sharing, greater resilience, encryption, cyber scalability and hardening of IT systems. In fact, we’ve seen demand for these capabilities reflected in recent cyber budgets which have hovered between $13 and$15 billion over the last couple of years. While the documents bring together much of the cyber policies heard from the administration over the past year, there are some important key takeaways you should be aware of as we head into FY19.

Offensive Cyber
One of the most notable developments is a more overt embrace of offensive cyber operations. The DOD Cyber Strategy especially, hones in on this “defending forward” strategy, where the U.S. will confront threats before they reach U.S. networks.

By giving the government more latitude to conduct proactive and offensive cybersecurity, we could see more funding and resources allocated to these operations as early as next year. Expect more demand for network mapping and reconnaissance, data extraction, firewall tunneling and encryption/decryption tools, just to name a few. I expect most of the funding and demand for offensive cyber tools will be generally confined to U.S. Cyber Command and the intelligence agencies.

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How NASA is Dealing With Their REALLY BIG Data

Tom O'KeefeBy Tom O’Keefe, consultant

Big Data and artificial intelligence are top of mind at NASA this summer. The agency has always collected, sorted, and stored a massive amount of data and made that data available to the public. Now, it’s looking to leverage big data tools to better understand more of the huge volumes of information it has at its fingertips

The focus is on increasing efficiency wherever possible, and it’s this approach you should keep in mind when you’re talking to NASA this year. Here’s what NASA is going to be working on, so make sure you’re tailoring your message appropriately:

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Smart Governments Get Smarter with AI

By Rachel Eckert, SLED consultant

It’s no secret that state and local governments are getting smarter, rolling out smart city pilots that range from smart street lights to entire smart transportation corridors. The deployment of Internet of Things technologies is enabling governments to become smarter and faster, but can they do more?

In one word, yes!

Artificial Intelligence is that tool, the tool that can enable state and local governments to connect seamlessly with citizens, speed processing time and facilitate a more connected government. In the consumer world, AI is being used for marketing in technologies like virtual assistants that learn our lifestyle, preferences, schedule, etc. and recommend products and services tailored to us.

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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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Artificial intelligence, cybersecurity and beyond

artificial intelligence, government, securityBy Kevin Shaker, senior analyst

Artificial intelligence has been making headway in the IT sector with a focus on cybersecurity. Spending on AI and machine learning, which helps make AI possible, will grow from $12 billion in 2017 to $57.6 billion by 2021, according to IDC.

And it’s starting to get the attention of federal, state and local government IT personnel who see it as a way to increase and optimize automation for enhanced judgment and cost reduction.

The largest opportunity for AI is cybersecurity. Government agencies spend significant resources and people hours adapting to cyber threats while hacker technology becomes even more persistent and evolving. This is the wild west with cybersecurity and the trick is to stay one step ahead of malware, spyware and viruses that aim to corrupt and compromise sensitive processes and data.

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3 ways government is investing in big data

Stephanie Melonibig data, governmentBy Stephanie Meloni, consultant

Big data is shaping up to be one of the bigger areas of IT growth within government. The federal market is expected to grow to $9 billion in 2018 and continue growing at an annual rate of 10 percent for the next several years.

Several factors are driving the growth, including the government’s increased attention to its data. The amount it collects and analyzes will only increase with more devices, sensors and upgrades of legacy enterprise systems. Internet of Things (IoT) will be a key driver for agencies that want to revolutionize their data and analytics practices.

The government will also be looking at data management and analytics solutions to improve operations, finance, human resources and healthcare challenges. Data analytics is vital to all government agencies, as analytics can help respond to cyber challenges and save money—two hot buttons for all government customers.

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What you should know about the future of machines

machine learning, artificial intelligenceBy Mark Wisinger, senior analyst

2017 saw machine learning become the de-facto in-vogue technology, whether the conversation was about data, cybersecurity or even traditional business systems.

In December, Google’s AlphaZero chess engine, utilizing Google’s DeepMind AI, crushed the incumbent chess engine champion, Stockfish. Google’s DeepMind relies heavily on machine learning – the AlphaZero chess engine did not start with any human knowledge, yet was able to learn how to beat Stockfish in 400 hours through machine learning. It’s a clear victory for machine learning – but one that’s easy to simulate. This is a much easier use case than identifying noise from cyber threats or prioritizing and cleaning multiple forms of data.

At immixGroup’s Government IT Sales Summit, we hosted a discussion on artificial intelligence (AI) and machine learning with Ron Gula, president and co-founder of Gula Tech Adventures and former CEO and co-founder of Tenable Networks, Dr. William Vanderlinde, chief scientist at the Intelligence Advanced Research Projects Activity (IARPA) and Rich Friedrich, senior director of cyber security analytics at Micro Focus Government Solutions.

Here are key takeaways to keep in mind when you discuss machine learning and AI with your government customers:

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Here’s what you’ll get out of this year’s Summit sessions

government, sales, ITBy Rita Walston, senior director of marketing

This year’s Government IT Sales Summit will be a full day of rich, actionable content on Nov. 16. We’ll cover everything from how the public sector is spending IT dollars in FY18 to the latest trends in cloud, cybersecurity and artificial intelligence. What makes this content come alive is our speakers, who hail from private industry and government.

We recently spoke to a few of them about their sessions. Here’s a teaser of what you’ll hear:

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