Category: Amazon Machine Learning

When Software Stops Waiting for Us For years, teams responsible for building and governing cloud platforms (such as the Cloud Center of Excellence) helped enterprises move faster without sacrificing governance or reliability. They standardized architecture, created guardrails, and turned cloud into a business accelerator rather than a technical experiment. Then software began to change. First, […]

In this blog post, I will demonstrate a pattern to modernize your existing application by adding agentic AI capability to it without touching the source code of your legacy application. I will do that by offloading the heavy lifting of this transformation to Amazon Bedrock AgentCore Gateway and Kiro powers. For the purposes of this […]

AWS offers several generative AI services that transform VMware workload migrations into a streamlined, automated process. By using agentic AI technology, organizations can now accelerate their cloud journey while maintaining operational excellence and reducing risk. AI powered migration tools can assess your on-premises servers in VMWare environments to map complex application dependencies, recommend optimized resource […]

We are excited to announce the launch of ‘Move to AI’ Modernization Pathway. It provides organizations with a structured approach to identify and implement high-impact artificial intelligence (AI) opportunities within their application portfolio. This addition to our comprehensive suite of Modernization Pathways provides an effective way to unlock innovation, automate workflows, and enhance customer experiences. […]

This post is co-written with Dylan Snow, Associate Principal Engineer at Accenture. Introduction In the rapidly evolving digital landscape, for organizations wishing to increase innovation, move faster, and increase efficiency, legacy systems and technical debt have become significant barriers. While many customers have made the initial move to the cloud through “lift and shift” migrations, […]