Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem plaguing generative AI investments—lack of fresh, trustworthy data—by ...

In today’s cloud-native era, efficient streaming data infrastructure is pivotal for scaling artificial intelligence training and operational insights. As organizations increasingly rely on streaming ...

Data is the foundation of modern business strategy and the fuel for AI applications. It drives decision-making, optimizes operations, and creates personalized customer experiences, enabling businesses ...

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

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 ...

AI trends, from context engineering and successful data governance to proactively fighting back against fraud, all depend on enterprise-ready data streaming.

IBM is betting $11 billion that real-time data infrastructure will become as critical to AI deployments as databases were to enterprise applications. The company's just-announced acquisition of ...