For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

The latest version of the Oracle database comes with agent builders and MCP Server integration to help developers embed automation into their workflows. Oracle is doubling down its focus on agentic ...

New Oracle Autonomous AI Lakehouse supports the Apache Iceberg open table format, enabling customers to use the power of Oracle AI Database for their data lake data "By architecting AI and data ...

Sathe says that Nightfall closes the real-time data exfiltration gap with an AI-native security architecture that operates directly at the browser, endpoint and SaaS layers i.e. where modern ...

The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

The new paid service replaces the Agentspace app launched in 2024 and grounds the AI assistant in a range of business data. Google has introduced a new AI assistant to serve as a platform so users can ...

Artificial intelligence systems can now write code, summarize legal contracts, and help design new drugs, yet the people ...

Sure, let your AI agents propose changes to image definitions, playbooks, or other artifacts. But never let them loose on production systems.

Databricks is debuting a new system for retrieving the data that AI agents need to perform tasks accurately.

Kioxia America, Inc. today announced that its AiSAQ™ approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with version 2.6.4), among the world’s ...

Agentic AI autonomously completes complex tasks with minimal human oversight. Public companies like Microsoft and Amazon are integrating agentic AI into products and services. Investors should explore ...