Government agencies are under constant pressure to become more efficient, and AI has the potential to help. But agencies have been slow to adopt it for many reasons: fragmented and siloed data, security concerns, and a need to protect private and sensitive data, among others. They also must develop policies to take advantage of AI’s capabilities while guaranteeing that humans make final decisions.
With the right foundation, agentic AI can overcome many of those challenges. Where earlier generations of AI deliver a response to a prompt, agentic AI can act — gathering data from multiple locations, automating processes, and even monitoring infrastructure for cyber risks. A unified data platform that integrates data management and governance with agentic AI capabilities unleashes the power of AI, improving productivity while protecting data. Humans stay involved in oversight and decision-making.
“Agentic AI allows you to orchestrate a whole series of actions across databases, legacy systems, APIs — truly a workflow that’s end-to-end,” said Chris Tran, Senior Solutions Architect at Snowflake. “It can take actions that previously we couldn’t do. Entirely new capabilities that weren’t feasible before can now essentially be accomplished with these AI agents.”
In this video interview, Tran discusses the ways agentic AI can enhance modernization and transform the business of government.
Topics include:
- How agentic AI can overcome data fragmentation
- How agencies are using agentic AI to end “pay and chase” in fraud enforcement
- How a unified data platform facilitates safe AI deployment