All news with #product update tag

📘 Amazon Connect now supports connecting existing Amazon Bedrock Knowledge Bases directly to AI agents and allows multiple knowledge bases per agent. You can attach Bedrock KBs in a few clicks with no additional setup or data duplication, and leverage Bedrock connectors such as Adobe Experience Manager, Confluence, SharePoint, and OneDrive. With multiple KBs per agent, AI agents can query several sources in parallel for more comprehensive responses. This capability is available in all AWS Regions where both services are offered.

🤖 Amazon Connect introduces agentic self-service capabilities that enable AI agents to understand, reason, and take action across voice and messaging channels to automate routine and complex customer-service tasks. Nova Sonic speech models deliver more natural, expressive, and adaptive voice interactions that respond to customer tone, sentiment, and pacing across languages and accents. The feature supports blending deterministic and agentic experiences, automating tasks like order lookup, refunds, and troubleshooting while allowing escalation to live agents and is commercially available in US East (N. Virginia) and US West (Oregon) in English and Spanish, with previews for French, Italian, and German.

🤖 Amazon Connect now provides AI agents that guide customer service representatives by recommending actions, retrieving information, and executing routine tasks on their behalf. These agents analyze conversation context and customer sentiment in real time to prepare documentation, calculate refunds, and initiate processes such as product returns. Organizations can choose out-of-the-box agents or customize agent behavior and actions to align with business workflows. The automation reduces agent workload, improves consistency, and lets representatives focus on complex, high-value interactions.

🔗 Amazon Connect now lets agents link related contacts — including email replies, call transfers, persistent chats, and queued callbacks — to an existing case using configurable flows. By enabling follow-up contacts to attach automatically, Amazon Connect Cases removes the need for custom logic or manual linking and helps present a unified customer journey to agents. The capability is available in multiple AWS regions; see the Amazon Connect Cases documentation to get started.

🔔 AWS has integrated AWS Partner Central directly into the AWS Management Console, giving Partners streamlined access to Partner Central and the AWS Marketplace Management Portal. The release includes expanded APIs to automate co-sell workflows and Marketplace operations, plus enhanced security and user management built on AWS Identity and Access Management with granular permissions and SSO. The console experience is available in all Regions and migration guidance is provided in the existing portal.

🚀 AWS announced a major expansion of its AI Competency, validating 60 partners across three new Agentic AI categories: Agentic AI Tools, Agentic AI Applications, and Agentic AI Consulting Services. The launch includes an AI agent in AWS Partner Central to provide immediate feedback and speed specialization approvals. Validated partners demonstrate production-grade capabilities using services such as Amazon Bedrock AgentCore, Strands Agents, and Amazon SageMaker AI, and must meet AWS standards for security, reliability, and responsible AI.

🔗 AWS Marketplace now supports solution-centric procurement via multi-product solutions. Partners, including ISVs and System Integrators, can bundle their own software and services with products they are authorized to resell, while each component retains distinct pricing and terms. Customers gain a single point of contact for negotiation, consolidated procurement, and the ability to manage renewals and term lengths for each component independently. This capability is available across all AWS Regions that operate AWS Marketplace and supports SaaS, Server, AI Agents and Tools, Machine Learning, and Professional Services.

🤖 Amazon SageMaker Catalog now provides automated data classification that suggests business glossary terms during dataset publishing to reduce manual tagging and improve metadata consistency. The capability leverages Amazon Bedrock language models to analyze table metadata and schema and recommend relevant business and sensitive-data terms from organizational glossaries. Data producers receive AI-generated suggestions they can accept or modify before publishing, helping standardize vocabulary and improve data discoverability. The feature is available in multiple AWS regions and can be managed via SageMaker Unified Studio, the AWS CLI, or SDKs.

🔎 AWS Marketplace introduced Agent mode and AI-enhanced search to speed solution discovery across 30,000+ listings. Agent mode provides a conversational procurement assistant that ingests use cases and uploaded requirements to deliver tailored recommendations and dynamic side-by-side comparisons. Users can refine results through dialogue, generate downloadable purchasing proposals, and initiate purchases directly. AI-enhanced search supplies contextual results with AI-generated summaries, adaptive categories, and AWS Specializations badges to spotlight validated partners.

⚡ AWS Glue now supports materialized views stored in Apache Iceberg format and managed in the AWS Glue Data Catalog. Data teams can create views with standard Spark SQL, attach a refresh schedule, and rely on automatic change detection, incremental updates, and managed compute for refresh jobs. Query engines across Athena, EMR, and AWS Glue rewrite queries to use these views, improving performance by up to 8x and lowering compute costs, while SQL tools like Redshift and SageMaker can read the Iceberg tables directly.

🔒 AWS now enables AWS Clean Rooms to generate privacy-enhancing synthetic datasets for training regression and classification ML models without exposing raw records. The capability de-identifies subjects in the original data and reduces the risk of models memorizing sensitive information, allowing partners to collaborate on model training while preserving privacy. Typical use cases include campaign optimization, fraud detection, and medical research.

⚙️ AWS Lambda Managed Instances lets you run Lambda functions on Amazon EC2 instances while preserving Lambda's serverless operational model. AWS fully manages instance lifecycle tasks — including OS and runtime patching, routing, load balancing, and autoscaling — and exposes the broad EC2 instance catalog (including Graviton4 and high‑bandwidth networking). You attach functions to a configurable capacity provider via Console, APIs or IaC, and the service integrates with CloudWatch, X‑Ray and AWS Config; current Java, Node.js, Python and .NET runtimes are supported. The feature is now available in US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo) and Europe (Ireland).

🔔 AWS Marketplace now offers express private offers, enabling customers to receive personalized pricing and contract terms for participating third-party products in minutes. The AI-powered workflow asks a few questions about purchase requirements and contract duration, then evaluates responses against a seller's preconfigured pricing rules to generate an offer. If needs exceed those parameters, customers can be routed to sales for more tailored deals. This capability is available in all AWS Regions where the Marketplace site is supported.

🧭 Amazon CloudWatch launched an AI-powered incident report generator that guides teams through a Five Whys root-cause analysis using a chat-based workflow powered by Amazon Q. The feature combines human inputs and automated analysis of incident data to recommend specific remediation and prevention measures. It is available at no additional cost in multiple AWS regions. To use it, create a CloudWatch investigation, click "Incident report," then select "Guide Me" in the Five Whys section.

📢 AWS Marketplace now offers variable payments, a general-availability billing option that lets professional services sellers invoice customers as work is delivered while enforcing a predetermined contract cap. Sellers can create private offers and submit payment requests tied to outcomes, milestones, or time-and-materials. Customers receive email notifications and can approve each request manually or enable auto-approval for streamlined processing. The feature increases engagement flexibility and buyer transparency and reduces the need for full upfront payments or rigid installment schedules.

🔍 AWS has announced general availability of multimodal retrieval in Amazon Bedrock Knowledge Bases, enabling unified search across text, images, audio, and video. The managed Retrieval Augmented Generation (RAG) workflow provides developers full control over ingestion, parsing, chunking, embedding (including Amazon Nova multimodal), and vector storage. Users can submit text or image queries and receive relevant text, image, audio, and video segments back, which can be combined with the LLM of their choice to generate richer, lower-latency responses. Region availability varies by feature set and is documented by AWS.

🛡️ AWS and CrowdStrike have launched an automated integration experience for CrowdStrike Falcon Next-Gen SIEM in AWS Marketplace that streamlines cloud-native security monitoring. The guided wizard automates connector configuration and provisions least-privilege IAM roles, Amazon SQS queues, EventBridge rules, and SNS topics. Security teams can quickly enable agentic AI-assisted investigation, advanced correlation, and automated response across their AWS Organization, and subscribe via new pay-as-you-go pricing.

🔧 AWS has expanded its Resilience Competency to include Technology Partners, enabling customers to identify validated software for high availability and recovery. The program evaluates solutions across Design, Recovery, and Operate categories through expert technical validation to meet strict performance and operational requirements. Qualified partners and solutions are discoverable via the AWS Resilience Competency and purchasable through AWS Marketplace, aligning with AWS's shared responsibility model. This aims to help organizations build always-on applications with lower cost and higher availability than on-premises alternatives.

⚡ Amazon SageMaker HyperPod now offers Managed Tiered KV Cache and Intelligent Routing to optimize LLM inference for long-context prompts and multi-turn conversations. The two-tier cache combines local CPU memory (L1) with disaggregated cluster storage (L2) — with AWS-native tiered storage recommended and Redis optional — to reuse computed key-value pairs and reduce recomputation. Intelligent Routing directs requests using prefix-aware, KV-aware, or round-robin strategies, while built-in observability integrates with Amazon Managed Grafana and deployment is enabled via InferenceEndpointConfig or SageMaker JumpStart.

🛠️ Amazon SageMaker HyperPod now supports custom Kubernetes labels and taints configured at the instance group level via the CreateCluster and UpdateCluster APIs. You can specify up to 50 labels and 50 taints per instance group using the KubernetesConfig parameter. HyperPod automatically applies and preserves these settings across node creation, replacement, scaling, and patching, eliminating manual kubectl work and ensuring device plugin pods (EFA, NVIDIA) schedule correctly while allowing NoSchedule taints to protect costly GPU nodes.