Amazon Web Services introduced a model monitoring architecture using the open-source Evidently Python library and Amazon SageMaker AI with MLflow to detect data and model drift in discriminative ML mo…
Amazon Web Services announced a new multi-turn reinforcement learning infrastructure for Amazon Nova on Amazon SageMaker HyperPod, enabling training of enterprise agents on multi-step workflows. The e…
AWS announced Amazon S3 Annotations, a feature allowing teams to attach rich, searchable context such as summaries, classifications, and AI-generated insights directly to S3 objects. Annotations are m…
AWS announced a new solution for automating healthcare claims processing using Amazon Bedrock and AWS HealthLake. The pipeline uses Bedrock Data Automation to extract data from CMS-1500 forms and an A…
A developer shares how reframing AWS services by the problems they solve, rather than their names, deepened their understanding of cloud computing. The developer highlights Amazon Bedrock for building…
ByteDance's open-source SeedVR2 video restoration model is now deployable on Amazon SageMaker AI, enabling scalable super resolution for low-resolution video libraries. The solution uses a three-tier …
Amazon Web Services and Snowflake have integrated semantic views with Amazon QuickSight to unify business logic across AI and BI tools, reducing data reconciliation efforts and AI hallucinations. The …
Amazon S3 Annotations, introduced in June 2026, allow mutable, structured payloads up to 1 MB each to be attached directly to S3 objects, enabling context like transcripts and meeting minutes to live …
A new practical guide compares data lake and cloud data warehouse architectures for data scientists, outlining key differences in storage, cost, governance, and ML performance. The guide recommends da…
AWS announced Lambda MicroVMs, a new serverless compute primitive that provides isolated, stateful execution environments for running untrusted code. Powered by Firecracker, the technology offers near…
AWS launched Bedrock Managed Knowledge Base, a managed service that automates retrieval-augmented generation (RAG) infrastructure for enterprise AI applications, reducing operational overhead for deve…
Amazon SageMaker AI Async Inference now supports inline request payloads up to 128,000 bytes, eliminating the need to upload input data to Amazon S3 before each invocation. This reduces latency, simpl…
AWS announced AWS Context, a new service that automatically maps data relationships into a knowledge graph for AI agents, at the AWS Summit New York City. The service provides agentic search and gover…
Amazon Web Services announced S3 annotations, a new metadata capability for Amazon Simple Storage Service (S3) that allows users to attach up to 1 GB of rich, queryable context per object in flexible …
Amazon Web Services announced container image caching for Amazon SageMaker AI inference, reducing end-to-end latency by up to 2x for generative AI models during scale-out events by eliminating contain…
Amazon Quick and Snowflake Cortex AI now enable financial institutions to automate anti-money laundering (AML) alert triage, reducing investigation time from 30-90 minutes to under 5 minutes. The inte…
An engineer used AWS's new DevOps Agent to troubleshoot a failed DMS task, and the tool identified the root cause—API issues between DMS and Secrets Manager—hours before AWS officially notified the is…
This article, part 12 of a 15-part Apache Iceberg Masterclass, explains how to access Iceberg data using Python libraries like PyIceberg, DuckDB, and Polars for local analysis, as well as MPP query en…
Amazon Web Services has introduced document-level access control list (ACL) support for Amazon Simple Storage Service (Amazon S3) knowledge bases in Amazon Quick, allowing organizations to restrict se…