Category: Amazon Machine Learning

Autonomous AI agents are transforming financial services — but in regulated industries, capability alone doesn’t drive adoption. Trust does. In this post, Fenergo and AWS engineers walk through the architecture behind the Fenergo Agent Operating System (Agent OS): a governance-first layer built on Amazon Bedrock, Amazon DynamoDB, Amazon SNS, Amazon SQS, and Amazon Timestream for InfluxDB that makes every agent decision traceable, explainable, and audit-ready. Learn how to design agentic AI systems that answer the question regulators always ask: why?

A data migration consulting firm’s growth was limited by dependence on a small group of expert practitioners to execute complex validation workflows, creating bottlenecks that delayed client deliverables and constrained profitability. Mission Cloud and AWS built a production AI agent on Amazon Bedrock AgentCore that guides consultants through structured validation workflows and supports natural language SQL analysis, democratizing expertise across the entire team. New employees are onboarded significantly faster, and validation cycles that previously took weeks now complete in days.

F5 AI Guardrails and F5 AI Red Team deliver continuous adaptive security for AI applications on AWS Bedrock. This post introduces three capabilities for enterprise AI security: pre-deployment model evaluation, adversarial testing at scale, and adaptive runtime protection. Learn how these capabilities compress the gap between threat discovery and defense deployment from weeks to minutes.

If your RAG deployment has plateaued—struggling with cross-domain reasoning, noisy retrieval at scale, or a model that never truly learns your business—you’re not alone. In this post, we explore how 4MINDS’s continuous model adaptation on AWS moves beyond RAG’s stateless architecture by building enterprise knowledge directly into model parameters, enabling AI that improves with every interaction. Learn how this AWS Marketplace solution integrates with Amazon Bedrock and Amazon SageMaker to deliver domain-adapted models without the operational burden of traditional fine-tuning.

As enterprises deploy AI agents at scale, traditional identity governance designed for human users can’t keep pace. With 80% of organizations reporting unintended agent actions, the need for purpose-built agent identity security has never been greater. Learn how SailPoint’s Agent Identity Security (AIS), built on Amazon Bedrock AgentCore, extends proven governance principles to autonomous AI agents, enabling automatic discovery, least-privilege enforcement, and continuous access reviews without slowing innovation.

Grubhub and Vody are proving that the winners of AI-powered commerce won’t be defined by a single breakthrough feature, they’ll be the retailers who invest early in unified, AI-ready data foundations built on AWS. By modernizing catalog, content, and behavioral data across 400,000+ merchants, they delivered initial model results in just 6–10 weeks and demonstrated measurable improvements in search relevance, conversion, and customer experience, offering a blueprint for retailers preparing to lead the next wave of AI innovation.

You’ve deployed your agents on Amazon Bedrock AgentCore but making them reachable from Claude Desktop, VS Code, Cursor, or GitHub Copilot means building an “experience layer” that handles identity, authorization, discovery, and developer UX. In this post, ASCENDING shares how they turned that recurring integration work into the Jarvis Registry, an open source experience layer that runs inside your AWS environment and connects agents to every IDE and copilot. See how one customer uses it to serve both business users and engineers from the same set of agents, with department-scoped access enforced across every tool.

As enterprises race to ship features faster and reduce technical debt, AI-assisted development has moved from experimental to essential with Gartner predicting 75% of enterprise engineers will use AI code assistants by 2028. OpenAI ChatGPT Codex on Amazon Bedrock brings frontier agentic coding capabilities to AWS customers, enabling developers to offload complex, multistep coding tasks while maintaining the security, governance, and operational controls that enterprise environments demand. Learn how ChatGPT Codex goes beyond simple code completion to reason across entire repositories, generate tests and documentation, and accelerate delivery all through a fully managed, serverless API with zero operator access and pay-per-token pricing.

When AI infrastructure costs consumed 40% of per-interview revenue, InterWiz knew their single-provider architecture couldn’t support profitable growth. By partnering with AWS Advanced Tier Services Partner Emumba to migrate from Azure OpenAI to Amazon Bedrock, InterWiz reduced AI costs by 90%, improved response times by 55%, and maintained 99.9% uptime, all with zero service disruption. Learn how a multi-model architecture on Amazon Bedrock transformed InterWiz’s cost-to-revenue ratio and created lasting competitive advantage.

The AI-Driven App Modernization Platform from Pega and AWS enables enterprises to incrementally transform legacy applications from mainframes to monolithic applications into intelligent, cloud-native workflows using AI-powered discovery, low-code design, and the strangler fig pattern, cutting modernization timelines from years to months without disrupting critical business operations.