Amazon Bedrock stories
Enterprises can now move AI workloads between environments as the company broadens AWS ties and adds controls aimed at easing supplier dependence.
Large enterprises could cut AI and modernisation bottlenecks as new AWS-linked tools help them update ageing systems without full replacement projects.
Enterprises struggling with legacy software may find it easier to automate tasks, as the platform works without APIs or fragile RPA tools.
AWS customers can now run OpenAI's latest models in production without leaving Bedrock, with pricing and governance folded into existing commitments.
Software teams can now tackle sprawling code audits and migrations with parallel AI subagents, though the feature uses more tokens and needs approval.
Retailers could deploy branded AI shopping assistants in about 60 days, as AWS opens Amazon-tested technology to external merchants.
The integration could reduce errors and compliance risks as enterprises let AI agents use cleaner, governed data without custom links.
The integration aims to help AWS customers build AI agents on trusted enterprise data, reducing errors from fragmented records and poor governance.
The move will put AVEVA's industrial data platform on AWS, giving customers more cloud choice and access to AI tools across operations.
Poor data quality has been slowing enterprise AI roll-outs, prompting Denodo to link live governed data to AWS agentic tools across multiple services.
Customers can now govern AI agents across mixed systems as Okta adds Bedrock support and lets firms keep existing identity providers.
Security teams get free visibility into how Snowflake Cortex agents access sensitive data, helping them prepare for audits and reviews.
The deal aims to help firms cut AI errors by giving agents a live picture of business processes and future scenarios.
Customers could move SAP workloads to AWS in days rather than weeks, as new integrations aim to cut migration time and expand AI use.
The tie-up could cut data movement and speed up enterprise AI by letting customers use live Amazon S3 data without migration.
The deal gives customers planning and forecasting tools meant to make AI agents more reliable across complex enterprise systems.
Developers using generative AI will get hands-on lessons on prompt injection and data leakage as AWS expands Bedrock adoption.
Developers can now let AI agents pay for paid content and services in real time, with US East, US West, Europe and Asia Pacific support.
AWS customers will gain limited-preview access to OpenAI models and Codex inside Bedrock, easing enterprise AI deployment and governance.
Security teams gain visibility into blocked requests, token use and failures in AWS Bedrock deployments as AI oversight gaps widen.
