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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Will AI be able to stop cybercrime?

cybersecurity, artificial intelligenceLloyd McCoy Jr.Real talk is finally starting on how to actually implement proactive cyber defense. We have to stop taking it on the chin from bad actors who find cyber intrusion and electronic warfare relatively simple and free from consequence.

Artificial intelligence (AI) is being touted as the next go-to technology for understanding potential threats in nearly every theater of war—from cybercrime to electronic warfare.

At a recent forum for government IT professionals, Ardisson Lyons of the Defense Intelligence Agency (DIA) said using standardized cloud-based platforms can improve big data analysis and consumption. An “Intelligent Simulation Center” can help immerse decision-makers in the information in a dynamic way.

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3 technologies law enforcement will need this year

By Tom O’Keefe, consultantTom O'Keefe

Law enforcement agencies are facing a myriad of challenges today, and they’ll be looking toward new technologies like artificial intelligence to help meet mission needs.

That was the message from government panelists at this week’s AFCEA Bethesda’s Law Enforcement & Public Safety Technology Forum. While the challenges raised by government are nothing new, interest in new solutions to these problems was expressed by leaders from the Department of Homeland Security and the Department of Justice.

Each of these solutions has one common theme: ways in which law enforcement agencies can better manage, integrate and understand the massive amounts of data they collect in their day-to-day operations.

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