AWS for Industries
Category: Kiro
Building self-learning agents for intelligent Network Operations with Kiro Crew
To build such a self-evolving loop for Autonomous Network Operations, agentic systems must react to network events, drive an investigation loop, remember context, learn how its operator works, and coordinate across unique tools and workflows, so the system comes back with progress instead of another workflow to restart. This blog will focus on the persistent and self-learning aspects of the Agent system.
How financial institutions can operationalize AI-DLC quickly and effectively
In this post, you will learn how to build a governance harness in days, and what engineering and Governance, Risk and Control (GRC) teams gain from it.
Henry Schein One goes AI-native with AI Product Discovery and Strategy
Learn how Henry Schein ONE serves more than 100,000 dental practices worldwide with cloud infrastructure on Amazon Web Services (AWS). The company’s mission is simple: help practitioners spend less time on technology and more time on patient care.
AI-Driven Development Lifecycle for Financial Services
This blog explains what the AI- Driven Development Lifecycle is and why it can help you drive faster application development using AI in a well governed and controlled way.
From code to chemistry: using Kiro to tackle ADME-Tox, a key drug discovery challenge
In this blog post, learn how Amazon Bio Discovery enables researchers to access 40+ AI biology models through a no-code interface to design, predict, and optimize drug candidates.
AUMOVIO Boosts Software Development with an Agentic Coding Assistant Powered by Amazon Bedrock
In this blog post, we will learn about how AUMOVIO used the services and expertise of Amazon Web Services (AWS) to develop an innovative automotive coding assistant on the domain of software-defined vehicles (SDV). AUMOVIO’s solution makes use of multiple AI models to accelerate different development lifecycle steps while helping to ensure alignment with automotive […]