Legacy data platforms in the U.S. public sector often fall short of the performance, processing and scaling requirements for robust AI/ML initiatives. This is especially true in complex multi-cloud (public, private, edge, airgapped) environments.

The combined power of MinIO and Dremio creates a data lakehouse platform that overcomes these challenges, delivering scalability, performance and efficiency to ensure successful AI initiatives.

On September 5th, MinIO and Dremio hosted a joint webinar that provided insights on:

• AI Workflows: How a data lakehouse simplifies critical AI tasks like model training, refinement, feature selection and real-time inference for faster decisions
• Scalability and Performance: How a data lakehouse architecture scales seamlessly to meet the fast-growing demands of AI applications
• Data Management Efficiency: How a data lakehouse streamlines data management for IT teams, allowing them to focus on innovation