AI Is Only Part of the Picture
At the state and local level, adopting AI remains only one of a long list of IT priorities. Read how Burlington, VT is approaching it.
Posts Tagged: data management
How to Manage Distributed Data Securely, Effectively
Processing data locally speeds up the time for decision making. Edge data can better support mission context and relevance. But distributed data brings with it new challenges. Here’s how to meet them.
How Data Management Drives AI
The foundation of AI is data — high-quality, accessible and secure. Think of a pyramid, The top 10% or 20% is AI. Everything below is data and data management.
Cyber Resiliency Supports Strong CX
Organizations depend on a wide array of tools to support CX, and more tools create more attack vectors. A cloud-based resiliency platform can ensure rapid recovery after an event. Here’s how that works.
Finding the Power of Data Through AI
The transformative power of AI is vast. Agencies need to embrace it. There’s help available to get started.
Get Your Data House in Order
Whether you’re planning to use more AI or just want to improve analytics and tighten cybersecurity, good data management must be the foundation for your efforts.
The Future of Data-Based Decision-Making
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.
Driving Innovation and Compliance: Why AI-Powered Automation Is Crucial for Federal Data Management Strategies
Data management has become a critical aspect of operations across the federal government in the digital age. The sheer volume of data generated daily requires efficient and effective management tools. Enter artificial intelligence (AI)-powered automation, a catalyst for enhanced data management and governance in government.
Secure Data, Secure Decision-Making
As data increases, it becomes more difficult for agencies to store, share and secure it, both internally and with other organizations.
Build a Functional Ecosystem Through Cloud Architecture
There are three core pillars to data transformation: people, processes and technology. You need to pay attention to all three.