Systems | Development | Analytics | API | Testing

Moving data processing and governance closer to the source, aka shifting left in data integration, results in faster, easier access to reliable data when and where it’s needed—without wasteful and costly reprocessing of bad data.

AI is only as good as the data behind it. That’s why 87% of IT leaders are relying on data streaming platforms to feed AI systems. Dig into how businesses like Reworked AI and @Notion are accelerating their AI initiatives with DSPs.

Lenses K2K is a new Kafka to Kafka replicator that gives any user the power to easily and reliably share real-time data across their business. Why is it different to the likes of MirrorMaker2, Confluent Cluster Linking and AWS Replicator? Vendor agnostic: Replicate data to and from any cluster or vendor, from Confluent Cloud and Redpanda to AWS and Azure Event Hubs. Self service: Full self-service capabilities to empower teams to replicate data, all while governed by multi-cluster Identity and Access Management and auditing.

The shift left paradigm isn’t just a developer trend, it’s how Swedbank bakes in data governance, compliance, and security from the start.

In a highly regulated industry where every millisecond matters, Swedbank is shifting its data strategy to move fast without breaking trust. In this episode, Rami Al Lolah, Lead Architect at Swedbank’s Integration Center of Excellence, shares how the bank built a future-proof foundation using Apache Kafka with Confluent Cloud.

According to the 2025 Data Streaming Report, 44% IT leaders reap 5x or more ROI with data streaming. From powering AI initiatives to improving customer experience, find out how companies like @VictoriasSecret are driving myriad business benefits with easy access to real-time data.