Enterprises are shifting from simply storing data to harnessing it through layered, AI-ready data platforms that integrate seamlessly across the stack. The trend is pointed toward trusted foundations ...

Snowflake Inc. is at a crossroads. The company, which defined the modern data platform, now faces fresh challenges on four fronts. Specifically, Snowflake must: 1) advance its data cloud vision; 2) ...

One of the latest initiatives focuses on enabling AI agents to interact more effectively with telecom data and operational ...

Perficient demonstrates how it helps enterprises maximize value from the Databricks Data Intelligence Platform, moving from adoption to scaled AI.

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. I was recently back in San Francisco, attending the ...

Snowflake has announced a slew of new capabilities for its AI Data Cloud that it hopes digital and business leaders will use to make the most of their enterprise information. Across two keynote ...

“These are projects that are going to define the future of the [customer’s] company,” Snowflake CEO Sridhar Ramaswamy said. Snowflake Intelligence for natural language interaction with data. New data ...

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...

Overview: Snowflake is no longer positioning itself as just a data warehouse—it's becoming a complete enterprise AI platform ...