Over last few years, organizations have been busy experimenting with ML models for specific use cases and working with data scientists to optimize model accuracy/ performance. Now, they want to deploy these models at scale and realizing that there are lot many new challenges ahead of them!

In this episode, Infosys AI experts Amit Gaonkar and Kaushal Desai tell us why organizations need to think of ML Ops in strategic way and not just as a toolkit to automate deployment of machine learning models. Listen to know how an enterprise MLOps layer built on good architecture principles, enables organizations to build future proof, scalable & responsible enterprise AI with adaptable governance mechanisms.

Hosted by Abhiram Mahajani, Sales Director, AI and Automation Services, UK and Europe, Infosys