Dhivya Nagasubramanian, VP of AI Transformation and Innovation, shares critical insights from her book 'Agentic AI for Engineers,' highlighting the urgent need to bridge the gap between AI research benchmarks and the demands of trustworthy, production-ready AI systems in regulated enterprise environments. Her work emphasizes building autonomous AI that can be trusted to act correctly, especially in high-stakes financial services.
Amazon introduces the Agentic Catalog Experience in Amazon Quick, bridging the gap between data catalogs and AI products. This move enables intelligent analytics at scale by connecting catalog-aware AI with upstream data catalogs. The investment in catalog platforms such as AWS Glue Data Catalog and Databricks Unity Catalog can now be leveraged to provide trusted dashboards and production-ready AI.
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