One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...

Anthropic today released a new open source protocol to let all AI systems, not just its own, connect with data sources via a standard interface. Model Context Protocol (MCP), the company said in its ...

Databricks, the inventor and commercial distributor of the Apache Spark processing platform, has announced the launch of an open source project called Delta Sharing at the Data + AI Summit. The ...

Databricks Inc. is using its Data + AI Summit today to launch a new open-source project called Delta Sharing that provides an open protocol for securely sharing data across organizations in real time, ...

This section provides guidance on the selection and implementation of various technologies used to develop Open Data platforms, with a particular focus on Open Data catalogs, which are the web-based ...

VentureBeat and other experts have argued that open-source large language models (LLMs) may have a more powerful impact on generative AI in the enterprise. More powerful, that is, than closed models, ...

MinIO, the data foundation for enterprise analytics and AI, is debuting AIStor Table Sharing, a capability built into MinIO AIStor that allows enterprises to securely share their on-premises data ...

In the beginning, data was closed. Although we have been ‘transporting’ data between different locations, systems and resources since the time of the first databases and personal computers in the ...

Web3 still relies on centralized infrastructure to run applications and AI models, creating major challenges for users and developers. Chris Jenkins, Operations Lead at Pocket Network, shared insights ...

The “Open Data for Data Users” e-learning course is designed to provide a broad overview of Open Data from a user standpoint, and empower anyone to take full advantage of Open Data. Open Data is a ...