IBM’s Sean Tabbert on trust and efficiency in federal AI

Sean Tabbert, Sales Lead for watsonx, U.S. Federal Market, at IBM, discussed three main challenges federal agencies face in implementing AI: trusting and accessing data, modernizing legacy systems and ensuring trust in AI use cases in production. IBM addresses these by partnering with organizations to provide trusted data for smaller, purpose-built models, which can achieve 80-85% operational efficiencies. They also focus on modernizing legacy systems and leveraging AI to optimize existing infrastructure. In addition, IBM offers an automated governance platform to ensure reliable AI use cases in production, enhancing productivity and efficiency.