All news with #aws tag

📣 Amazon Web Services has added a visual journey builder to Amazon Connect Outbound Campaigns, enabling creation of multi-step, multi-channel engagement journeys directly in the console. You can orchestrate voice, SMS, email, and WhatsApp interactions and combine time- or behavior-triggered flows. Integrations with existing Connect Flows, AI capabilities, and Customer Profiles let you personalize interactions and route customers to live agents when needed. The feature is available in all AWS Regions that support Outbound Campaigns.

🔔 Amazon Connect Chat now supports agent-initiated workflows, allowing agents to send interactive forms and present policies or disclosures directly within an active chat so customers can provide sensitive or general information without leaving the conversation. Agents can trigger workflows at any point, making interactions more dynamic and reducing resolution time. By keeping data collection inside the chat, businesses can better preserve security and compliance controls while improving customer experience. The capability is available now in multiple AWS regions.

💬 Amazon Connect now streams AI chat messages as they're generated, presenting progressive responses and status prompts such as 'One moment while I review your account.' This reduces perceived wait times and reassures customers that an AI agent is actively reasoning, invoking tools, and composing answers. The feature is available in ten AWS regions and can be integrated into existing contact flows and front-end components to improve conversational transparency and responsiveness.

🔒 Amazon Connect now intercepts chat messages before delivery to enable automatic sensitive-data redaction and custom message processing. The built-in redaction detects entities such as credit card and social security numbers across multiple language variants and can replace them with generic or entity-specific placeholders (e.g., [PII] or [NAME]). Businesses can also integrate custom processors for translation, profanity filtering, or other transformations to meet compliance and CX needs. The feature is available in multiple AWS regions.

🧪 Amazon Connect now provides native testing and simulation capabilities that let contact center teams validate workflows, self-service voice interactions, and outcomes in a few clicks. You can configure test parameters such as caller phone number or customer profile, call intent, expected responses, and business conditions like after-hours or full queues. Tests run concurrently at scale and return pass/fail results with the interaction path and detailed logs to accelerate diagnosis and reduce deployment risk.

🔧 Amazon Connect now enables business users to create and use custom UIs to adjust queues, routing, and customer-experience settings in real time without technical resources. Administrators can define key configurations in data tables and expose role-specific actions through persona-based workspaces to maintain governance and security. These capabilities are available in all AWS regions where Amazon Connect is offered.

🧪 Amazon Connect now includes native testing and simulation capabilities that let teams validate contact center workflows, voice self-service, and business conditions with just a few clicks. You can configure caller identity, customer profile, intent (for example “I need to check my order status”), expected responses, and scenarios such as after-hours or full queues. Tests return pass/fail outcomes, execution paths, and detailed logs, and multiple tests can run concurrently to accelerate validation at scale.

🔔 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.

⚙️ 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 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.

🚀 Amazon EKS Capabilities is now generally available, offering a fully managed, extensible set of Kubernetes-native platform features that offload operations to AWS. The capabilities run in AWS-owned infrastructure separate from customer clusters and AWS handles autoscaling, patching, and upgrades. Launch features include Argo CD for continuous deployment, AWS Controllers for Kubernetes (ACK) for resource management, and Kube Resource Orchestrator (KRO) for dynamic orchestration.

🤖 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 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.

🌐Amazon announced the preview of Amazon Route 53 Global Resolver, an internet-reachable DNS resolver that offers secure, anycast-based resolution for authorized clients worldwide. It supports split DNS for public domains and Route 53 private hosted zones and integrates DNS Firewall rules to block threat categories, malicious content, and advanced DNS attacks while logging queries centrally. Global Resolver provides high availability via selection of two or more regions for anycast resolution with automatic failover, and AWS will rename the existing Route 53 Resolver to Route 53 VPC Resolver to clarify the difference.

🔒 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.

🧭 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 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.

⚡ 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 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 has launched the AWS AI League 2026 Championship, expanding its flagship AI tournament with new challenge tracks and a doubled prize pool of $50,000 to drive builder innovation. The program pairs a brief orientation with two competition tracks: a Model Customization track using Amazon SageMaker AI to fine-tune foundation models for domain-specific tasks, and an Agentic AI track using Amazon Bedrock AgentCore to build planning and execution agents. Enterprises can apply to host internal tournaments and receive AWS credits to run team competitions, while individual developers can compete at AWS Summits to test skills and build with AWS AI services.