Confluent Cloud introduces new capabilities for building secure, resilient, and compliant fraud detection systems in financial services, addressing the need for real-time streaming to prevent fraud be…
Confluent released a 2026 guide recommending a unified streaming (kappa) architecture to eliminate training-serving skew in ML pipelines, citing DoorDash's 35.7% feature-value mismatch and Netflix's $…
Confluent released a guide for building real-time hyper-personalization systems using streaming-native data engines, arguing that batch architectures cannot capture user intent within the critical sec…
Confluent Cloud launched a dbt adapter that lets data engineers manage streaming SQL transformations with the same CI/CD, testing, and documentation workflows used for batch data. The adapter, built o…
Databricks announced major updates to Unity Catalog at the Data+AI Summit 2026, including AI runtime governance with hard spend caps and contextual service policies, external engine writes to managed …
Confluent Cloud introduces stateful stream processing to help enterprises build compliant AI agents under the EU AI Act, which mandates automatic lifetime event logging for high-risk AI systems. The a…
Confluent released a guide arguing that production real-time retrieval-augmented generation (RAG) is a distributed systems problem, not an API orchestration challenge, and recommends most enterprises …
Intel is ending development of its open-source BigDL project, which enabled running large language models across Intel XPUs from laptops to data centers. The project will be archived on June 30, 2026,…
Researchers have developed a multi-agent architecture for autonomous insight discovery over real-time data streams, enabling proactive analytics rather than requiring users to manually define queries.…
Confluent Cloud launched a new enterprise knowledge management architecture using Retrieval-Augmented Generation (RAG) that connects large language models to real-time streaming data, replacing batch-…