Amazon Bedrock
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Headlines · 71
- Amazon cuts nearly 1,000 more roles while pouring $220B into AI
Amazon carried out a fresh round of job cuts starting October 6 across customer service, Marketplace support and retail engineering, with teams in India and the UK also affected; a person familiar said fewer than 1,000 employees were impacted. An Amazon spokesperson confirmed to Business Insider that a "small number" of roles were eliminated, mainly in the Stores business. The move extends a series of reductions since October 2025: about 14,000 corporate jobs cut that month, another 16,000 in January 2026 touching AWS units including Bedrock, AI cloud services and Redshift, and roughly 17,000 in January–September 2026 per Layoffs.fyi — more than 30,000 in under a year. At the same time, capital spending is hitting record levels, with reports putting 2026 capex at about $200 billion (one report says $220 billion), mostly for AI infrastructure, up sharply from $131 billion in 2025.
科技新报 · 🔥 0 - Qlik Answers scales grounded enterprise AI on Amazon Bedrock
In an AWS blog post, Qlik detailed the architecture behind Qlik Answers, its enterprise question-answering product: employees ask in natural language and get sourced answers drawn from knowledge bases, live analytics apps, glossary definitions or documents, across more than 40,000 customers and 11 Regions. The system is split into entry, routing, answer, specialist-agent, conversational-analytics, retrieval (Amazon OpenSearch Service) and model-access layers; model calls go through Qlik's own LLM gateway to Amazon Bedrock, with Bedrock Guardrails applying content filtering and contextual grounding validation to every request and response, and Amazon SageMaker AI hosting models not yet available in-Region. Qlik says that since February 2026 general availability its Discovery Agent has surfaced over 100,000 discoveries, that most Qlik Cloud accounts with agentic tools enabled keep using them, and that customer Lintech International saw 75% faster responses and up to 7 hours per week returned to managers — all figures reported by Qlik itself.
AWS Machine Learning Blog · 🔥 0 - AWS tutorial: automating remediation after DevOps Agent investigations
An AWS Machine Learning Blog post walks through automating fixes after an AWS DevOps Agent investigation. Amazon EventBridge picks up the investigation-completed event, triggers an AWS Lambda Durable Function, and Amazon Bedrock proposes remediation actions drawn from a curated allowlist of purpose-built Lambda tools; read-only tools run autonomously while infrastructure-changing actions suspend for human approval. The demo scenario increases an undersized Lambda function timeout.
AWS Machine Learning Blog · 🔥 0 - AWS playbook: six-week program turns non-engineers into AI agent builders
In an AWS Machine Learning Blog post, Amazon Web Services describes a six-week program that pairs non-engineering business staff with mentors and production-grade tools—Kiro, Amazon Bedrock, Strands Agents SDK and AWS Lambda agents—for about four hours a week, ending in a working prototype. A team of four customer-facing employees with no engineering background built WealthWise, a multi-agent financial advisory prototype with five agents (portfolio analysis, risk assessment, financial planning and more), a dual-server Node.js and Python Flask architecture, four DynamoDB tables and, the team says, sub-5-second responses for complex reasoning; it took first place in the demo judging. AWS reports that self-rated “strong or expert” understanding of agentic AI rose from 27% to 82% among participants, and readiness to identify AI opportunities from 41% to 85%.
AWS Machine Learning Blog · 🔥 0 - Cornerstone cuts database diagnosis time 78% with Bedrock-based Orion AI
Cornerstone OnDemand's Enterprise DataOps team built Orion AI, a multi-agent system on Amazon Bedrock and AWS's open-source Strands Agents framework, using a hub-and-spoke topology in which a meta-orchestrator routes work to 13 domain-specific agents, including three SQL Server diagnostics agents. According to the AWS blog post, database diagnosis time fell from about 45 minutes to 10 minutes per incident (a 78% reduction), manual lifecycle steps dropped roughly 70%, SRE-to-data-team reporting lag went from 15 minutes to real time, and redundant alerts fell by a median of 65%. A three-person team delivered the system in six months on Amazon ECS, with Amazon Bedrock AgentCore providing cross-session memory.
AWS Machine Learning Blog · 🔥 0 - AWS explains ISO/IEC 42005:2025 AI impact assessment guidance
AWS published a post on how organizations can use the ISO/IEC 42005:2025 standard to run AI system impact assessments and fold them into existing enterprise risk, privacy and security reviews. It covers the standard's guidance on when to assess, lightweight triage, required documentation and reassessment triggers, plus Annex D for integrating existing assessments without duplication and Annex E for a standalone template. AWS also points to its Well-Architected Responsible AI Lens and its ISO/IEC 42001 implementation guide, and says Amazon Bedrock, Amazon Q Business, Amazon Transcribe and Amazon Textract hold ISO/IEC 42001 certification.
AWS Machine Learning Blog · 🔥 0 - Expanding the Cyber Verification Program
We’re launching a new, expanded version of our Cyber Verification Program (CVP), which makes advanced cyber capabilities and reduced blocking classifiers available to qualifying security professionals. The program now consists of three access tiers, which allow security teams to apply for the level of access that best suits their work. Each tier includes access to our most capable models, including Claude Opus 5.5, Claude Sonnet 5.5, Claude Mythos 5.1, and new models moving forward. Interested customers can apply here. Cybersecurity is inherently dual use: the same capabilities that enable a s
Anthropic · News · 🔥 0 - GLM 5.3 open-weight model launches on Amazon Bedrock for coding and agentic tasks
Z.ai's GLM 5.3 is now available on Amazon Bedrock, according to an AWS blog post. The 753B-parameter mixture-of-experts open-weight model is optimized for coding and long-horizon agentic tasks, and Z.ai reports a leading CyberGym score of 84.5 for defensive security work. Bedrock offers managed APIs, cross-Region inference, prompt caching and service tiers, with access currently limited to eligible enterprise customers.
AWS Machine Learning Blog · 🔥 0 - Claude Code on Amazon Bedrock comes to AWS GovCloud for regulated work
An AWS Machine Learning Blog post walks through configuring Anthropic's agentic coding tool Claude Code on Amazon Bedrock in AWS GovCloud (US) regions. The post states Claude Opus 5.5 and Claude Sonnet 5.5 are available there, with Claude Sonnet 5 holding FedRAMP Class D certification and DoD IL4/IL5 authorization, aimed at regulated or ITAR-bound workloads. It details three setup routes — an interactive wizard, manual environment variables, and the Bedrock Mantle endpoint — plus enterprise guidance on pinning model versions, per-user token quotas, IAM Identity Center governance and cost monitoring.
AWS Machine Learning Blog · 🔥 0 - AWS walks through agentic retrieval with LangChain on Amazon Bedrock Knowledge Bases
An AWS Machine Learning Blog post demonstrates a RAG application that uses LangChain with Amazon Bedrock Managed Knowledge Bases, comparing two retrieval paths. The standard Retrieve API runs a single hybrid search, while the AgenticRetrieveStream API runs a planning loop that splits a multi-part question into sub-queries, judges whether the evidence is sufficient, and searches again if it is not; with generate_response enabled it returns a grounded answer with citations. The post also covers the IAM permissions, relative costs and appropriate use cases for each path.
AWS Machine Learning Blog · 🔥 0 - AWS shows layered evaluation for multi-agent systems with AgentCore Evaluations
An AWS blog post explains how to assess multi-agent systems with Amazon Bedrock AgentCore Evaluations, combining built-in evaluators (helpfulness, task success, instruction following, tool selection) with custom evaluators for domain rules such as constraint satisfaction, route feasibility and SQL correctness. The walkthrough uses a fictional retailer, AnyCompany Retail, building a supply-chain decisioning system with the Strands Agents SDK: one orchestrator agent plus optimization, distribution, routing and analytics sub-agents running on AgentCore runtime with memory and observability. A separate explainability layer of six cross-cutting evaluators checks decision rationale, evidence attribution, constraint reasoning, trade-off explanation, tool-use explainability and assumption disclosure; AgentCore Evaluations runs in on-demand mode for benchmarks and CI/CD gates, and online mode to sample production traces into CloudWatch dashboards and alarms.
AWS Machine Learning Blog · 🔥 0
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