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Databricks’ annual summit has always been a party for data ecosystem stakeholders. The company shares new technologies, partnerships and developments that make working with data assets – whether structured or unstructured – easier than ever. This year, the summit saw the same party continue, albeit with one major (and expected) shift: a focus on AI.
In his keynote, CEO Ali Ghodsi shared several innovations at the intersection of data and AI as part of the company’s broader effort to help teams make the most of their governed datasets on the Databricks Data Intelligence Platform. This included upgrades to Mosaic AI, the company’s platform for AI development, a new model for image generation and a generative AI-driven offering for better and faster data analytics.
Below is a rundown of all major announcements:
1. Unity Catalog goes open-source
Taking on Snowflake’s Polaris Catalog, Databricks open-sourced its Unity Catalog under an Apache 2.0 license with OpenAPI specification, server, and clients. The move means other firms can take the underlying architecture and code to set up their catalogs supporting data in any format, including Iceberg and Delta/Hudi via UniForm, and interoperability with all major cloud platforms and compute engines. The code for the catalog was published live on stage, while Polaris Catalog is expected to go open source over the next 90 days.
VB Transform 2024 Registration is Open
Join enterprise leaders in San Francisco from July 9 to 11 for our flagship AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now
Mosaic AI, the company’s suite of tools for building AI applications, got a major upgrade to help teams build trusted, production-grade compound AI systems. This included a new Mosaic AI Model Training product, an AI Agent framework, an Evaluation framework as well as a …
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It’s time to celebrate the incredible women leading the way in AI! Nominate your inspiring leaders for VentureBeat’s Women in AI Awards today before June 18. Learn More
Databricks’ annual summit has always been a party for data ecosystem stakeholders. The company shares new technologies, partnerships and developments that make working with data assets – whether structured or unstructured – easier than ever. This year, the summit saw the same party continue, albeit with one major (and expected) shift: a focus on AI.
In his keynote, CEO Ali Ghodsi shared several innovations at the intersection of data and AI as part of the company’s broader effort to help teams make the most of their governed datasets on the Databricks Data Intelligence Platform. This included upgrades to Mosaic AI, the company’s platform for AI development, a new model for image generation and a generative AI-driven offering for better and faster data analytics.
Below is a rundown of all major announcements:
1. Unity Catalog goes open-source
Taking on Snowflake’s Polaris Catalog, Databricks open-sourced its Unity Catalog under an Apache 2.0 license with OpenAPI specification, server, and clients. The move means other firms can take the underlying architecture and code to set up their catalogs supporting data in any format, including Iceberg and Delta/Hudi via UniForm, and interoperability with all major cloud platforms and compute engines. The code for the catalog was published live on stage, while Polaris Catalog is expected to go open source over the next 90 days.
VB Transform 2024 Registration is Open
Join enterprise leaders in San Francisco from July 9 to 11 for our flagship AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now
Mosaic AI, the company’s suite of tools for building AI applications, got a major upgrade to help teams build trusted, production-grade compound AI systems. This included a new Mosaic AI Model Training product, an AI Agent framework, an Evaluation framework as well as a …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]