How sports betting platforms use Flink streams to power live odds, fraud detection, and personalization with exactly-once guarantees.
Vimeo details how they process billions of play events to measure second-by-second viewer engagement.
Swap Pandas, NumPy, and scikit-learn for GPU-optimized drop-ins like cuDF, CuPy, and cuML for instant speedups.
New SQL-native functions for one-hot encoding, normalization, and scaling let you prep ML data directly in DuckDB.
Industry benchmarks on GenAI adoption, MLOps maturity, and platform modernization for the year ahead.
Confluent launches event-driven, LLM-powered agents that combine Kafka streams with real-time context.
The new version brings better scale, security, and performance to this S3-compatible object store for big data.
Databricks acquires Tecton to bring real-time feature pipelines and personalization into its Data Intelligence Platform.
How LLMD brings autoscaling, GPU scheduling, and native model serving to Kubernetes.
The first Baltic AWS Community Day brings 20+ speakers, 300+ attendees, and keynotes from AWS advocates Gunnar Grosch and Viktor Vedmich.
Netflix details how they monitor and explain ML models in payments, capturing metrics, tracing predictions, and detecting drift. Built for compliance, reliability, and scaling observability patterns into other domains.
Meta introduces a multi-agent framework where query agents and owner agents collaborate to ensure secure warehouse access. Balances speed for analysts with compliance and audit guarantees.
A Python package connecting Apache Flink with the Model Context Protocol, letting AI models stream predictions and decisions into real-time pipelines.