Transform Legacy Systems into Business Advantages in the AI Era with AWS Migration & Modernization

Introduction

If your organization is looking to migrate legacy servers with complex data to the cloud and wants to incorporate Agentic AI ー this session will solve technical debt problems by using the latest new service from AWS: AWS Transform to help migrate and modernize systems to create a competitive advantage for your organization.

Before Implementing AI, You Must Modernize Your Backend Systems and Data First

70% of AWS customers are performing Migration, but the current trend has shifted because customers no longer want just a traditional system migration.

71% of organizations that successfully migrated to the cloud were able to increase revenue and innovation by transforming their architecture to Microservices, helping businesses move faster and reducing problems.

Although many organizations are adopting Agentic AI, the reality is "we cannot use cutting-edge AI on outdated systems." Migration and Modernization is therefore the critical starting point for preparing the platform to be ready.

1. Migrate: This is moving data or systems from one place to another (e.g., from On-premise to Cloud) where the system still looks and functions the same. It's like "moving house" — taking your belongings from the old house and putting them in the new one.
2. Modernize: This is making what has been migrated "better than before" or doing things that were never possible before, such as redesigning the Architecture to support more users.

Enterprise Architecture: The Critical Foundation for Success

Building an Enterprise Architecture is like "building a house" that must have a strong and scalable Infrastructure as its foundation, connecting operations to other key components such as Applications and Data.

• Applications: Once the house has its structure, what's inside are the appliances — like air conditioners, TVs, and refrigerators — which are analogous to Business Applications, each with its own purpose to serve user operations.

• Data: Data is like the flow of electricity and water running in and out between various applications. Managing Data Flow effectively and securely is therefore critically important.

In the past, organizations had to invest in large server purchases and plan usage over a 5-year period (TCO), which was fairly inflexible. But in today's era, Data usage flows in and out constantly. Switching to the Cloud allows organizations to scale up and down and make decisions quickly, without having to sink capital into hardware as in the past.

How Can Agentic AI & GenAI Help with System Migration?

As is well known, modifying legacy systems — especially those that are decades old — is very challenging for IT teams because the original developers may no longer be around to maintain them, making it risky to touch the existing system. But in 2026, AWS has brought GenAI in as a key assistant.

The highlighted tool at this event is AWS Transform, a Generative AI designed specifically for Migration and Modernization work.

How does AWS Transform work? This tool can deeply analyze old code, and developers can interact with the system in multiple ways:

• Via UI / Chatbot: Issue commands and inquiries through an easy-to-use interface
• Via IDE CLI: Embedded into the code editors that developers are already familiar with
• Powered by Bedrock Agent Core: Uses AI power to understand complex architectures

AWS Transform will help read code, perform Assessments, evaluate risks, and produce a Migration Plan — reducing the time that would otherwise require consultants to spend months analyzing, completing the work in a much shorter timeframe.

What Complex Workloads Can AWS Transform Handle?

4 Main Workloads Where AWS Transform Will Help Transform Organizations

1. Microsoft Workloads: Easier license management, with AI helping to modernize old .NET code or smoothly migrate it to run on Open Source such as Linux and Containers.

2. VMware: Reduce costs by migrating to run on EC2 or using VMware Cloud on AWS, with AI helping to discover, plan networking, and select the most cost-effective specifications.

3. SAP: Migrate SAP systems to AWS for increased stability and open opportunities to connect with over 200 other AWS services to drive further innovation.

4. Mainframe: Break through the limitations of legacy systems that no one dares to touch, with AI capable of reading code in legacy languages to safely convert and plan system migration.

Key Takeaways

1. AI Requires Modern Data: Don't skip ahead to doing GenAI if your database systems and infrastructure are still outdated. Migrating and Modernizing is the true starting point.
2. Let AI Handle Complex Work: Legacy systems that are difficult to manage and so complex that no one wants to touch them now have AWS Transform to help you analyze, convert code, and plan system migration smoothly.

If your organization still has certain Workloads with no solution in sight, AWS always has the tools and experience ready to support you. With experience from continuously evolving use cases, AWS always has new tools to help solve problems for your organization.