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    IBM Consulting Software Development Life-cycle with GENAI (SDLC)

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    GENAI End to End Solution to accelerate the SDLC (Software Development Life Cycle)
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    IBM Consulting Software Development Life-cycle with GENAI (SDLC)

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    Overview

    IBM Consulting's SDLC GenAI Solution on AWS automatically uses company architecture standards, assets, security, available APIs, quality standards, and documentation models ensuring that all artefacts comply with approved and defined policies within the organisation’s software development cycle

    By integrating AI-powered generative models using AWS's GenAI products and services, this solution enhances SDLC through improved creativity, efficiency, and decision-making at every stage. During planning, these models can analyze vast datasets for accurate project scoping and risk assessment. In development, generative models automate code generation and testing, leading to higher quality software with fewer errors. AI can also optimize deployment processes and provide predictive maintenance analytics.

    GenAI is not just a tool for automation but a catalyst for redefining software development practices, enhancing collaboration, and supporting continuous integration/continuous deployment (CI/CD) processes.

    Highlights

    • Business Highlights – Productivity Benefits - Up to 60% in Discovery & Design Phase - Up to 40% Development / Test / Deploy - Up to 55% Platform Services & IT Operations
    • Technical Highlights - Accelerates and standardizes artifact identification during analysis -Speeds up code creation and related documentation during development - Enhances automated test cases' depth and coverage during testing. -Improves understanding and documentation of existing code. -Ensure that the developments though this empowered SLDC are compliance with organizational procedures / architecture guidelines and security .

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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