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Leveraging AI for ODA compliant landscape modernization

URN C25.0.780
Topics AI (Artificial Intelligence), Cloud migration, Open Digital Architecture (ODA)

Smart-ODA factory model to modernize the legacy application estate of CSPs to ODA compliant, microservice based, cloud native digital ecosystem

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CSPs are struggling with modernizing their extensive legacy technology estates according to ODA guidelines. The urgency to modernize these outdated systems cannot be overstated. Transforming thousands of legacy applications into streamlined, efficient digital ecosystem is not just a goal, its a necessity. This critical journey involves refactoring the monolithic applications across diverse business lines, each with its own unique complexities, technologies, and documentation challenges. Our project aims in creating a factory model to transform the legacy landscape into , ODA compliant architecture and microservices framework where applicable. By integrating Gen AI throughout the modernization process, we want to implement a unique smart-factory model which will intelligently automate the modernization lifecycle and rearchitecture/re-factoring architecting and designing appropriate microservices with bounded context, coding, testing and deploying the solution in appropriate cloud environment. The key innovative element of our design lies in the integration of *Generative AI* with *Open Digital Architecture (ODA)* and *Cloud Native Architecture* to aid the transformation of legacy systems.. This combination of ODA, Generative AI, and cloud hosting represents a first-of-its-kind solution in the telecom industry, serving as a key differentiator.

Team members

Amazon Web Services, Inc. logo
BT Group plc logo
Champion
Tata Consultancy Services logo

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