Confluent Blog

Want to drive smarter, faster decisions? A data-driven culture gives teams real-time insights, accelerates innovation, and maximizes efficiency. Discover how to break down data silos, craft a winning strategy, and transform your organization.

Discover how real-time data empowers smarter decisions, enhances customer experiences, predicts trends, and optimizes operations for a competitive edge.

Data accessibility is the game-changer your business needs. From eliminating data silos to empowering teams with real-time insights, discover how a strategic approach to data management can drive efficiency, innovation, and success.

Businesses need to adapt in real time to stay competitive. Discover how leveraging real-time data can revolutionize your strategy, optimize decision-making, and drive innovation.

Discover how Confluent’s BYOK for Enterprise Clusters and support for EKMs enhance security, and efficient data streaming in our latest blog.

This is the Q1 2025 Connect with Confluent announcement blog—a quarterly installment introducing new entrants into the Connect with Confluent technology partner program. Every blog has a new theme, and this quarter’s focus is on powering real-time AI and analytics with streaming data.

Introduction to Flink SQL FEDERATED_SEARCH() on Confluent cloud. FEDERATED_SEARCH() along with ML_PREDICT() enables developers to execute GenAI use cases with data streaming technologies.

Confluent Cloud now supports Cluster Linking for Azure Private Link, enabling secure data replication between Kafka clusters in private Azure environments. With Cluster Linking, organizations can achieve real-time data movement, disaster recovery, migrations, and secure data sharing

Most AI projects fail not because of bad models, but because of bad data. Siloed, stale, and locked in batch pipelines, enterprise data isn’t AI-ready. This post breaks down the data liberation problem and how streaming solves it—freeing real-time data so AI can actually deliver value.

The concept of “shift left” in building data pipelines involves applying stream governance close to the source of events. Let’s discuss some tools (like Terraform and Gradle) and practices used by data streaming engineers to build and maintain those data contracts.

Airy helps developers build copilots as a new interface to explore and work with streaming data – turning natural language into Flink jobs that act as agents.

This article explores how event-driven design—a proven approach in microservices—can address the chaos, creating scalable, efficient multi-agent systems. If you’re leading teams toward the future of AI, understanding these patterns is critical. We’ll demonstrate how they can be implemented.

Real-time data streaming and GenAI are advancing Singapore's Smart Nation vision. As AI adoption grows, challenges from data silos to legacy infrastructure can slow progress - but Confluent, through IMDA's Tech Acceleration Lab, is helping orgs overcome hurdles and develop smarter citizen services.

Learn how Flink enables developers to connect real-time data to external models through remote inference, enabling seamless coordination between data processing and AI/ML workflows.