Mismanaged data can lead to poor decision-making, loss of trust, increased risk and other fallout, and artificial intelligence has made data use more complicated. Fast, secure, energy-efficient data storage, however, helps agencies manage what they have.
USA.gov has launched a program to recruit the public for research programs. Here’s why that’s so important.
Agencies that rely exclusively on manual software testing are missing the opportunities that automation provides, such as finding and resolving pain points quickly and efficiently, giving employees a more satisfying work experience, strengthening service delivery, and building constituent trust.
In the journey toward building more equitable and inclusive AI systems, diversity is not just a buzzword — it’s a fundamental principle that must be embraced at every stage of development and implementation.
Dive into the heart of MLOps, where data science meets DevOps, ensuring seamless integration of machine learning models into production. Discover the essential practices and tools for automating, monitoring, and managing the entire ML lifecycle.
The role of data in government is growing fast. But to reach the future, you have to prepare. Here are some tactics to get your data systems ready now.
Agencies need flexible technology that works in concert with their employees, helping them perform well without being caught up in the tech itself, and they need a workforce willing to learn and adapt.
DevOps engineering is a growing field that requires important IT-related expertise. Here are the top five skills DevOps engineers need.
Zero trust is the new standard for cybersecurity, but it poses challenges, and many federal agencies will miss a key 2024 deadline for implementing it. Here are four ways to comply with zero-trust requirements.
As agencies handle massive amounts of data, they’ve lost the ability to easily access it. Learn how integration platform as a service (iPaaS) can help.