Case Study
Client is an US based global fashion brand renowned for its timeless designs and premium lifestyle products. It encompasses a diverse portfolio of brands, offering premium apparel, accessories, and lifestyle products.
Key Challenges
Some of the key challenges faced by the client were-
- Making Data Consumable for Business Usage
- Heavy SME Intensive Process
- High manual effort and inefficiency
- Difficulty in identifying data dependencies.
- Comprehensive Test case generation
To address these challenges, Infosys implemented Generative AI solutions aimed at shortening the software development life cycle (SDLC) and accelerating value delivery. This initiative also enhanced the productivity of the operations team, allowing them to focus on business-critical initiatives while effectively managing consumption costs.
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Talk To ExpertsThe Solution
AI-Powered Transformation: Infosys’ Strategic Adoption of Generative AI
To address these challenges, Infosys adopted an AI-first strategy and leveraged Gen AI capabilities leveraging Large Language Models, AWS Bedrock etc. across various stages of SDLC to bring efficiencies. The solutions implemented were Jira Enrichment & Testcase Generator for grooming requirements/user stories, Code & SQL explainer. Additionally, the BI Developer Assistant streamlines development processes, boosts efficiency, and improves code quality throughout SDLC.
AI-driven Transformation: Infosys' Strategic Embrace of Generative AI
Below solutions were implemented using advanced analytics platform by integrating with applications such as AWS S3, Confluence, Jira, Service Now by harnessing the power of AWS Bedrock service. Developed Web app interface also as part of the solution.
- Code Explainer - 4000+ PySpark Scripts
- SQL/Logic Explanation - 4000+ PySpark Scripts
- Jira (User Story) Refinement
- Code Lineage Generation
-
Developer Assistant that includes:
- Architecture Explainer
- Code Generator
- Code Optimizer
- Test Cases Generator
- Code Modifier
Benefits
Up to 80% effort saving in test case generation.
Up to 100% test coverage.
Up to 30% reduction in development cycle time.
100% script documentation with automated refresh capabilities.
Reduced dependency on subject matter experts (SMEs).
Product owners can leverage generative AI to refine requirements.
Right-sizing of the development based on refined requirements.
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