Over the last several years, government agencies have made significant investments in artificial intelligence, hoping to improve operational efficiency and deliver better services to the public. But after developing a large array of use cases and launching numerous proof-of-concepts, many agencies have come to the pinch: They need to begin seeing a return on their investments. And where they often get stuck is deciding how to operationalize AI in line with both their mission and security requirements.
As it turns out, agencies can deliver quick and meaningful outcomes by building on their existing investments in two key areas: Cloud and search. These technologies, which most agency infrastructure already incorporates, provide a solid foundation for a wide range of AI use cases, from observability and security to operational resilience. “The combination of search and analytics really comes together with generative AI to unlock data you haven’t seen,” said Kent Brake, Solutions Architect at Elastic.
In this video interview, Brake discusses how agencies can jumpstart their AI operations quickly and securely. Topics include:
- Four capabilities that are essential to AI initiatives
- Common pitfalls in AI deployments and how to avoid them
- Leveraging cloud to deploy GenAI securely and at scale
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