The business prospect: making it easier for companies to build their own AI agents. The context: Even the most successful AI companies are still working on how to generate revenue that justifies ...

Strategic integration of Databricks Genie Spaces and Databricks Apps unifies data intelligence for Digital Turbine's global ...

Databricks is introducing a security information and event management service called Lakewatch. The privately held company sees an opportunity to challenge mature cybersecurity vendors using ...

Persistent Systems (BSE: 533179) (NSE: PERSISTENT), a global Digital Engineering and Enterprise Modernization leader, today ...

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...

Enterprise software giant SAP SE today debuted the Business Data Cloud, a new data solution that unifies all SAP data and third-party data throughout an organization to provide a foundation for ...

Microsoft has opened a new front in the AI data wars, blocking partners from connecting their data management tools to a ...

The acquisition will enable enterprises to build agents that can leverage real-time data to make better decisions while acting autonomously, the company said. To perform tasks as well as a human, AI ...

Malaysia’s enterprise AI readiness gap remains tied to fragmented data systems, legacy platforms, and siloed business units.

Many enterprise AI agent development efforts never make it to production and it's not because the technology isn't ready. The problem, according to Databricks, is that companies are still relying on ...

On Monday, Databricks announced it reached a $5.4 billion revenue run rate, growing 65% year-over-year, of which more than $1.4 billion was from its AI products. Co-founder and CEO Ali Ghodsi wanted ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra The intelligence of AI models isn't what's blocking enterprise deployments. It's the inability to define and measure quality in the first ...