Building a Pivot-Ready Organization: A Cloud Culture
Every agency employee needs to embrace IT transformation for change to really happen. That’s certainly true when organizations transition to greater use of cloud services.
Every agency employee needs to embrace IT transformation for change to really happen. That’s certainly true when organizations transition to greater use of cloud services.
Artificial intelligence is not a singular technology — there are, in fact, many types of AI, each with unique uses and concerns for agencies to consider.
Agencies need a true partner, not just a technology vendor, to help them address security needs while incorporating industrial Internet-of-Things devices into their information technology (OT) and operational technology (OT) systems.
Government’s response to national and local crises depends on its ability to collect, analyze and use actionable data. That requires a 360-degree view of available agency data, the kind of perspective that a cloud-based data management platform can provide.
A concept known as explainability helps make artificial intelligence (AI) applications seem trustworthy. But what does explainable AI mean? And how might AI change things for the better? For the worse?
Agencies need to harness their data to achieve mission goals. That means building an effective data culture.
Data centers use too much space and too much energy. But what if the bulky mechanical disks could be replaced with solid-state storage?
The three core pillars of data transformation are people, processes and technology. Here are some pointers on how each can contribute.
The more you learn about artificial intelligence (AI), the more confused you might be. Here are some helpful definitions of the most popular forms of AI to help you make sense of it all.
We asked GovLoop readers about their AI-related thoughts and experiences. How are people using AI? What value does it offer, and what would make agencies use the technology more? Is AI more of a benefit or a risk, and why?