More Big Data Articles
Attacks on IT systems and networks are increasing in number and sophistication, and government has fallen behind. To neutralize the threat, the government will need to update policies governing security, rethink the security aspect of contracting, cultivate a security mindset that is commensurate with the threat and incorporate security into business practices.
It seems every business sector—automotive, aerospace and defense, heavy industry, consumer goods, even agriculture—wants “smarter” products that will comprise the Internet of Things (IoT) and form the basis for the connected factory of the future. For engineering departments, large and small, that means today’s design engineering teams are being asked to create more complex product designs, simulate more advanced mechanical and electrical phenomena, and virtually assemble components as part of larger systems—all in less time.
The threat landscape is evolving and increasing in size. Cyberthieves are trying new techniques and methods for exploiting humans and devices. Ensure your agency is staying ahead of these security threats with these 3 keys to an analytics-driven security approach.
The hype around artificial intelligence (AI) and machine learning (ML) has exploded, sometimes overshadowing the real uses and innovations happening at agencies today. The reality is that applying AI and ML to data-dependent challenges presents the opportunity for better security, faster innovation, and overall improved efficiency.
Choosing the right platform to build your agency’s security operations center is arguably more important than choosing any point security product. But are you aware of the criteria you should consider when evaluating which Security Orchestration, Automation and Response (SOAR) platform to choose? Download the buyer’s guide to learn how.
IBM has released the Diversity in Faces dataset, an annotated collection of 1 million human facial images.
The Defense Advanced Research Project Agency's SubT Integration Exercise asks teams to quickly and remotely map, navigate and search underground environments.
To create an environment in which data-driven decision-making can thrive, agencies need to provide analytic capabilities that require no coding and that are intuitive to non-experts.
The accuracy of digital maps depends entirely on their level of detail, fact-checking and update frequencies.
The One Concern platform aims to deliver hyper-local damage assessments within 30 minutes.
The Federal Aviation Administration wants partners to help develop the data sharing capabilities required to remotely identify small unmanned aircraft systems in controlled airspace.
By understanding a few basic data science concepts, IT teams can better support their colleagues and limit the headaches along the way.
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