Breaking Down Silos to Scale Innovation

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

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


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.

Thomas Robinson


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.

Watch On Demand

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.

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.