A new analysis from InfoWorld warns that data preparation and context quality, not GPU costs, are the hidden drivers of AI spending, citing a FinOps Foundation survey finding that 73% of enterprises r…
Confluent announced new AI capabilities in Confluent Cloud, including the general availability of Real-Time Context Engine, expanded time-series model support with IBM Granite and Google TimesFM model…
Confluent Cloud for Apache Flink now unifies real-time operational systems and dbt/SQL-native analytics for AI, with the Flink Table API generally available in Java and Process Table Functions (PTFs) …
Confluent announced Confluent Platform 8.3, built on Apache Kafka 4.3.0, which includes Confluent Platform for Apache Flink 2.4.0 with an MCP server for AI agent integration, user-defined functions, a…
Confluent reduced Out-of-Memory kill events (OOMKills) in Apache Flink Task Managers by 91.2% and cut peak memory usage by 13% by fixing native-memory leaks and jemalloc fragmentation in Flink's use o…
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-…