Mphasis Artificial Intelligence / Machine Learning Services
    Mphasis

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    OVERVIEW

    In the next era of global growth and innovation, our focus is on ensuring business success. As economies mature whilst promoting new capacities in innovation and productivity, we prepare symbiotic, agile approaches for our win-win. Our vision today, finds clear rationale in “redefining the paradigm for business success together”.

    Adopting and adapting to the change, we build success drivers to “The Next Applied”- a positioning that exemplifies our capabilities, service, technology and efforts that will take on future challenges. From hyper-specialization, to a sharpened go-to-market strategy, we have strengthened the value delivered to our stakeholders in every sphere globally.

    As we take the next step forward, we are both equipped and excited to conquer ‘the next’ with our Mphasis X2C2 ™ - Anything to Cloud, Powered by Cognitive.

    Mphasis vision for AI services is to partner with enterprises in their Intelligent Digital Transformation, enabling Business Operations and Technology Transformation. Mphasis models AI services as innovation in the emergent and future paradigms and the patent pending proprietary machine learning, deep learning and graph theory- based solutions that will enable organizations in solving business challenges and metamorphosing into cognitive enterprises.

    a. Mphasis NextSTEP - Service Transformation platform targeted to enable clients to ‘shrink the core’ and reduce spend on core systems in moving to a digital business. Hosts IP assets for all service types and offerings - integrated toolchains, cognitive components, delivery accelerators, best practices and frameworks.

    b. Mphasis NEXTLabs - DeepInsightsTM, Sparkle Labs initiatives are key pillars of the investment strategy. Mphasis InfraGenieTM, CognitiveGuru™ are some proprietary IP solutions with new-age concept providing next-gen services. These will help reduce delivery efforts by 25 to 40 percent, accelerate time-to-market, and improve the quality and service experience

    c. Investing in building a rich ecosystem with partnerships such as Arago, within the AI space.