We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

Confluent, a leader in data streaming and steward of the open-source Apache Kafka system, recently announced its new "Data Streaming for AI" initiative to aid organizations in developing real-time AI ...

As the world becomes increasingly more demanding in the ways it consumes any form of content, data is no stranger to this phenomenon. The emphasis on real-time, streaming data, as well as IoT, has ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

MongoDB announced that Atlas Stream Processing is now in public preview, allowing developers the flexibility and ease of use of the document model alongside the Query API. With Atlas Stream Processing ...

The ability to move, manage and process data in real time is the domain of data streaming, which is largely dominated by a series of open-source technologies. The ability to stream data is a core ...

Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...

Confluent has launched Streaming Agents to embed AI directly into data streams, addressing the enterprise challenge of moving AI agents from prototype to production by providing real-time data access ...