L&T Tech and Google Cloud Team up to Leverage the Power of AI

CIOTechOutlook Team | Tuesday, 07 November 2023, 08:56 IST

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L&T Technology Services, a global leader in digital engineering and R&D services, announced a groundbreaking cooperation with Google Cloud to use the power of its generative AI (gen AI) technology and tools for the creation of its LTTS Developer Experience Platform, known as DevX. LTTS DevX is a ground-breaking platform for engineering services that serves as a comprehensive, unified destination for API-enabled solutions from LTTS and its ecosystem partners across various sectors.
 
The collaboration underscores LTTS’ commitment in achieving transformative AI-driven objectives in collaboration with Google Cloud. It will facilitate the creation of an expansive API catalogue and experience, redefining how customers interact with LTTS’ digital offerings. Both organizations will work in tandem to shape LTTS’ DevX framework, and seamlessly integrate Google Cloud's gen AI components into the overall architecture, as per business wire. 
 
The alliance's LTTS has several goals. To begin, it seeks to increase developer awareness of DevX as a go-to platform for engineering solutions internationally. Second, it aims to improve consumption by easing the discovery and deployment of LTTS' products and services for end-users, resulting in increased customer satisfaction. The cooperation also intends to increase developer engagement with content by developing a "developer playground" experience and expanding it with API discovery and accelerators.
 
The deployment will be place in two stages: LTTS will initially combine its expertise with Google Cloud to develop DevX, focusing on select use-cases such as automating the process of generating test cases from requirement documents, thereby streamlining the development workflow; expediting the unit test case generation process by integrating gen AI into the development code; and automating code generation, thereby significantly reducing manual efforts and increasing development efficiency.

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