Driving AI Return On Investment With Model Context Protocol

The framework provided by MCP allows agents to access and engage with databases, tools, apps and agents in real time in a united way.

Confluent Intelligence Expands Real-Time Business Data to Enterprise AI

Confluent, Inc. (Nasdaq: CFLT), the data streaming pioneer, today announced new Confluent Intelligence capabilities that connect artificial intelligence (AI) agents and uncover more accurate, ...
diginomica

Your AI agents can talk to each other - but are they saying anything useful? Confluent Intelligence aims for insight

Confluent's latest Confluent Intelligence features include support for both Anthropic's Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol within Streaming Agents, plus a new multivariate ...

Confluent Intelligence adds Streaming Agents into the mix to enable agent-to-agent collaboration

Confluent Intelligence adds Streaming Agents into the mix to enable agent-to-agent collaboration - SiliconANGLE ...

Kong and Solace Announce Partnership to Unify API and Real-Time Data and Event Streaming

Kong Inc., a leading developer of API and AI connectivity technologies, today announced that Solace, the real-time data and ...
Computer Weekly

Confluent Intelligence engineers secure agent connectivity for real-time data

Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.
DevPro Journal

From dashboards to decisions: How streaming data transforms vertical software

Discover how ISVs are moving beyond batch processing to build high-margin, real-time data streaming features in their software.
Advanced Television

Live streaming latency vs on-demand infrastructure reliability

The migration of television distribution from traditional terrestrial and satellite broadcast to Internet Protocol (IP) delivery is the most significant change ...