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    GTC TCS Wide

    Breaking Down Silos to Scale Innovation

    Breaking Down Silos Across Simulation, Analytics, and AI to Scale Innovation

    In Partnership with Tata Consulting Services (TCS)

    Recorded: NVIDIA GTC, November, 2021

    Uniting Analytics and AI workloads with HPC technology and Enterprise MLOps

    The convergence of analytics and AI workloads with simulation or classical high performance computing (HPC) workloads in the cloud are becoming requirements for the model-driven businesses of the future. For many companies today, these siloed environments limit performance at the production scale necessary for truly transformative data science innovation.

    In this session, Revati Kulkarni, technology head of the HPC and AI group at Tata Consultancy Services (TCS), along with Thomas Robinson, VP of strategic partnerships at Domino, discuss role-based use cases they’ve seen in enterprise customers. Learn best practices for building a heterogeneous platform to unite analytics and AI workloads, backed by the HPC technology for production level workflows.

    1. Learn best practices from real-world customer use cases for scaling data science, and how enterprises have reduced non-productive time for data scientists.
    2. Critical decisions and technological choices required for modern, collaborative data science.
    3. How the TCS HPC A3 solution, a converged, managed service, powered by Domino's Enterprise MLOps platform, NVIDIA DGX systems, & TCS' Enterprise Cloud, can accelerate time-to-value.

    Dr. Revati Kulkarni

    Global Head, High Performance Computing & AI Centre of Excellence, TCS

    Dr. Revati Kulkarni is technology Head at High Performance Computing – AI group at Tata Consultancy Services. She is responsible for new, innovative and premium product/offering development plugging existing technologies with commercial proof points. 

    She has handled multiple leadership role at various strategic, global level in capacity of business development, support to delivery across US/UK/Europe/APAC. She designed and consulted solutions in the areas of High Performance Computing – AI, Autonomous driving system, in car infotainment and Embedded System.

    Dr. Revati Kulkarni

    Global Head, High Performance Computing & AI Centre of Excellence, TCS

    Thomas Robinson

    VP of Strategic Partnerships & Initiatives, Domino

    Thomas Robinson is the VP of Strategic Partnerships & Initiatives at Domino Data Lab. He is responsible for building Domino's partner ecosystem, developing offerings which provide differentiated value to Domino's partners. He also previously acted as Domino's Chief People Officer, responsible for building an organization to accomplish Domino's mission of unleashing data science to address the world's most important challenges. 

    Prior to Domino, Thomas worked at Bridgewater Associates driving strategic transformation efforts for the firm, working first as a director in Bridgewater's Core Technology Department to define the next generation of enterprise architecture, then as a General Manager focused on recruiting and retaining technical talent.

    Thomas Robinson

    VP of Strategic Partnerships & Initiatives, Domino


    Uniting Simulation, AI, and HPC for Innovation

    You’ll hear directly from experts on how enterprises have reduced non-productive time for data scientists with a single, converged Enterprise MLOps Platform. 


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    Real-World, HPC AI Use Cases by Industry

    Hear real-world world use cases across manufacturing, life sciences, & semiconductors,  from TCS' Dr. Revati Kulkarni & Domino's Thomas Robinson. 

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