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Transform enterprise workloads with AWS Transform and Agentic AI
- Organizations facing challenges with legacy applications and obsolete architectures can benefit from modernizing enterprise workloads with AWS Transform and Agentic AI.
- Despite the strong reliance on traditional infrastructures, there is a significant opportunity for modernization, as highlighted by Gartner and McKinsey data.
- AWS Transform utilizes Agentic AI to automate complex migration and modernization tasks for .NET, Mainframe, and VMware workloads, offering assessment services and cost savings.
- The service provides expertise in transforming applications into modern technologies, such as breaking down monolithic COBOL z/OS applications and automating VMware network configurations.
- AWS Transform streamlines collaboration across teams, providing control and visibility into transformation plans to ensure alignment with business objectives.
- Key benefits include accelerating modernization, reducing costs, enhancing innovation, security, and performance in enterprise workloads.
- Agentic AI, integrated into AWS Transform, emphasizes autonomous software agents that make decisions, plan, interact, and learn dynamically to achieve specific transformation goals.
- AWS Transform represents a strategic ally for organizations aiming for technology modernization by leveraging automation, data-driven analytics, and AWS ecosystem integration.
- Looking ahead, Gartner projects a significant increase in the adoption of Agentic AI in enterprise software applications by 2028, foreseeing a transformative impact on digital interactions.
- Overall, AWS Transform empowers organizations to modernize with cloud and AI support efficiently and securely, whether scaling web applications or upgrading critical systems.
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