How AI Demands a New Vision of the Data Center
Technology originally developed to improve PC-based gaming and multimedia applications nearly 30 years ago is now driving advances in the field of artificial intelligence.
Technology originally developed to improve PC-based gaming and multimedia applications nearly 30 years ago is now driving advances in the field of artificial intelligence.
Agencies that use data effectively can better collaborate with one another, deliver stronger services to citizens and achieve more mission wins.
Consider all the information passing through 911 dispatch centers on a daily basis: addresses, names, medical conditions and more. What can it be used for?
The best route to evidence-based decision-making doesn’t involve a massive, top-down solution.
It’s difficult to get visibility into the right data, performance analytics is the engine for agencies to use data-driven insights to make better choices.
To combat the spread of an infectious disease, which requires contact tracing, geospatial information has shown what feet on the ground can’t.
A strong data strategy involves decisions with data at the forefront, not lumped in with AI, ML, cloud migration and other technologies.
How can agencies overcome barriers to entry and practically adopt AI for success throughout the organization?
Adopting a unified platform for data lifecycle management ensures that all data is available, secure, and ready to use.
Ensuring that data is fully available and accessible can be a major barrier for many agencies in achieving a truly data-driven culture.