AWS Data Heroes — Customer stories
See how organizations are putting their data to work with AWS
How the PGA TOUR powers fan experiences with data and AI
See how the PGA TOUR centralized years of siloed data into a single data lake on Amazon S3, allowing every team to access data, run analytics, and make faster business decisions.
Building an open data foundation for agentic success
See how customers are building open, scalable, and secure data foundations to get the most out of agentic AI.
Boosting customer experience by migrating to Amazon RDS for SQL Server
iCIMS migrated nearly 6,000 databases to Amazon RDS for SQL Server with no business disruptions and a total downtime of less than 4 hours. The move has improved performance, lowered operational overhead, and given employees more time to work on value-added tasks.
Making data ready for agentic innovation
Autodesk’s agentic AI platform, Autodesk Assistant, enables natural language interactions across its product suite, reducing manual work from hours to minutes and allowing architects, engineers, and designers to focus on creativity. See how they did it with Amazon Bedrock, EKS, DynamoDB, OpenSearch, and Apache Iceberg.
Unlocking insights from petabytes of data with agentic search
BMW Group empowers employees to search petabytes of data using natural language—no SQL or dedicated vector database needed. With its agentic search solution on Amazon S3 Vectors, Amazon Bedrock, and AgentCore, BMW enables data-driven insights from 110 TB of data ingested daily.
Using Iceberg and AI to power autonomous investigation at scale
CyberArk cut case resolution time by up to 95% and boosted engineer productivity 4x—with zero manual intervention. By combining Iceberg's intelligent metadata management with Amazon Bedrock automation, diverse support logs from hundreds of vendor formats become queryable the instant they land.
How AWS Data Heroes innovate past the competition
See how enterprises across industries are using AWS data, analytics, and AI services to drive innovation and business results.
We adopted Amazon OpenSearch Service for its flexibility, allowing us to address feature limitations and quickly incorporate newly released capabilities that enhance accuracy.
Mitsuhiro Mabuchi
Group manager of the DS System Development Department
S3 Vectors puts an accessible vector interface right inside the storage we already trust, giving us the scale of S3 with the intelligence of semantic search in a single click.
Zachary Hanif
Head of AI, ML, and Data; VP of Traffic Intelligence
If a company like Amazon can move so many databases used by so many decentralized, globally distributed teams from Oracle to AWS, it's really within the reach of almost any enterprise.
Thomas Park
Senior Manager of Solution Architecture for Consumer Business Data Technologies
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