AI In Government Starts With Trust in Data, But Is Built With People
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
Federal agencies cannot afford to select government contractors based only on price or past relationships. Read on to learn about the five qualities you should look for.
AI algorithms need reliable, high-quality data to generate high-quality results. Learn how to implement a data strategy that leads to more trusted sources and truer AI answers.
In this video interview, Styrk AI’s Anhad Singh, joined by researcher and author Dr. Donnie Wendt, discuss key issues that agencies must address to ensure safe and responsible AI.
The enterprise architect role is evolving to respond to cloud and AI. The impact depends on your career level. How will these technologies affect you?
Understanding where AI succeeds in government today is critical for guiding future implementation and impact.
Artificial intelligence is transforming how government employees work and promises greater impacts in the months and years ahead. To use AI responsibly, agencies need a long-term, four-pronged strategy for success.
Government efforts to adopt cloud technology have stalled in recent years, but secure cloud can help ensure agencies’ cyber resilience.
By pairing AI implementation with human-centered strategies, organizations can harness innovation while retaining talent and preparing their teams for the future. Here’s how.
As AI transforms how we serve and secure, public-sector leaders must navigate the tricky space where machine intelligence meets cyber risk.