As agencies accelerate their adoption of artificial intelligence-based solutions, they need to ensure the underlying data is AI-ready. In this video interview, Andrew Churchill of Qlik and Piyush Bothra of AWS discuss how to lay a strong data foundation for AI initiatives.
By building public trust through data privacy and protection, government agencies are leveraging advanced technologies and ethical frameworks to secure sensitive information and ensure responsible data management in the digital age.
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.
Protecting your data is the lynchpin of coming back from a cyberattack. Here are some pointers on keeping data safe.
This resource details how cyber resilience can speed up disaster recovery for your agency.
As government collects more data on individuals, it becomes more important than ever to guarantee its privacy.
When you innovate and add new sources of data, it’s vital to incorporate cybersecurity into your plans. Here are five tips for successful change.
The cloud helps NOAA coordinate and share data to better predict weather events. It can help your agency, too.
Marshaling all their data can help agencies provide stronger and more complete services. Here’s what you need to bring your data to bear.
There are three core pillars to data transformation: people, processes and technology. You need to pay attention to all three.