AWS at CData Foundations 2025: Laying the Data Foundation for Enterprise AI

At CData Foundations 2025, AWS Senior Technical Account Manager Harshit Kohli argued that enterprise AI adoption is constrained less by model capabilities than by organizations’ ability to provide fresh, governed, high-quality data from dispersed systems. He emphasized that AI infrastructure must accommodate data volume, variety, and real-time velocity, while successful deployments should follow staged, measurable initiatives rather than rushing into large-scale implementations. CData positions its AWS integrations as support for this data foundation by simplifying ingestion into Amazon S3 and Redshift, enabling live connections from enterprise applications to Amazon Bedrock models through Model Context Protocol, and integrating with AWS Glue, Athena, and SageMaker. Its approach aims to reduce pipeline complexity, data movement, and cloud costs through push-down queries, caching, incremental synchronization, and predictable pricing, helping organizations combine governed historical data with current operational information for AI applications.

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