Exploring the Unknown: Data Management for the AI Era
Artificial intelligence (AI) often works by magic. While seemingly nobody knows how it operates, people are amazed and inspired by the successes that AI has achieved.
Artificial intelligence (AI) often works by magic. While seemingly nobody knows how it operates, people are amazed and inspired by the successes that AI has achieved.
It’s been a month since the release of the Federal Data Strategy. As agencies adjust to the shifting priorities, here are three tools that can help them meet the new, ambitious goals.
Content services platforms (CSP) are helping organizations grow into the 21st century versions of themselves by empowering employees with access to the content they need, when and where they need it.
Business intelligence is an analysis of an agency’s past, present and future business operations for operational decision-making.
Enterprise data clouds are especially valuable to organizations as they can analyze an agency’s data regardless of the IT storing that information.
Most agencies are accustomed to managing PDF files, Word documents and other standard text inputs. But traditional systems for managing this type of content are incapable of keeping up with the growing diversity, increasing size and the volume of unstructured content (video, audio and more) that government employees and citizens are rapidly producing.
Data loss prevention can bring productivity to a halt, especially in an environment where there are more drivers of data than ever.
Cloud migrations are easier with automation as it reduces the amount of manual labor, letting humans focus on more complex, mission-critical work.
As government agencies hash out the challenges that come with making better use of their data, first understanding what they have and where to find it is key.
Big data, as it’s called, has taken over government and forced agencies to piece together policies and practices that will allow them to manage all of their incoming information securely.