Managing data is no small feat. An array of data formats make it difficult. Then add legacy tech, data and communication siloes, limited-purpose applications, and ransomware to the mix. To use data securely, as a strategic asset, agencies need a simplified, cohesive approach to cyber resiliency.
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.
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.
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.
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.
The transformative power of AI is vast. Agencies need to embrace it. There’s help available to get started.
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 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.
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.
As data increases, it becomes more difficult for agencies to store, share and secure it, both internally and with other organizations.