Sudhir works as Sr. Cloud Solution Architect. He spent 14 years in industry and involved in various activities like development, consulting, troubleshooting and speaking. He works extensively on Data and AI platform. He worked with enterpise, strategic customer and startup to help them not only with solution architecture but also code with them. He delivered talk in various conferences on various topics like BI, Big Data, IOT and AI. He delivered talk on Hadoop performance in SQL PASS, Seattle. He also delivered sessions on another platform like Microsoft Tech-ed INDIA, Microsoft Azure Conference, Great INDIA Developer Summit, SQL Server Annual Summit, Reboot (MVP) etc. His certification includes Azure Data Scientist Associate, Azure AI Engineer Associate, Azure Data Engineer Associate, MCITP, MCTS, MCT, MCPS and MS. He author a book on Azure.
You can find him at http://aka.ms/connectsudhir, http://aka.ms/followsudhir, http://aka.ms/gitsudhir
MLOps, or DevOps for machine learning, enables data science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation, and governance of machine learning models. In this session we’ll discuss challenges and MLops implementation.