THE TOP GOVERNMENT CONTRACTING GROWTH AREAS FOR 2018

Infographic | January 7, 2020

Sarah needs a safe and affordable apartment closer to her new job. She used to dread going to the Housing Authority. She hated waiting in line and being treated like a number. But she knows that her government understands her needs. Sarah expects more from her government—and her government delivers.

Infographic | February 24, 2020

Federal governments face large-scale, complex challenges. Their agencies need comprehensive analytics solutions to improve operational e¬ciency, prevent fraud, and better engage their constituents.

Infographic | March 25, 2020

There are 20.4 billion “things” – devices, sensors, buildings, vehicles and more – projected to be connected to the internet by 2020. At the same time, government agencies are a growing target for cyberattacks. This begs the question: Is government prepared to protect the deluge of data that comes with the Internet of Things (IoT)? Download this infographic to learn more about the impact of IoT and best practices to prepare for it.

Infographic | January 6, 2020

The White House report on Al is a research and policy document that was designed to provide recommendations for how the US government should respond to developments in Al as they arise. It is the result of months of research and documentation, and it contains 23 goals within seven mandates. Here are the major takeaways and key points.

Infographic | February 11, 2020

Voters provide the foundation for the nation’s election system, not just in their actions, but in their names, addresses and Social Security numbers — information that is tempting bait for malicious actors who want to affect an election’s outcome. Secretaries of state and local boards of election attempt to protect their voter databases as closely as possible, even as they must keep that information accessible to temporary poll workers, election officials and state officials who need it to do their jobs.

Infographic | January 19, 2020

The private sector has used large-scale data analytics to great effect, boosting economic growth. But there are valid concerns that warrant regulation. How do you strike a balance?