In this session, we are joined by Tony Paikeday, Senior Director of AI Systems of NVIDIA, and Yaron Haviv, CTO and Co-founder of Iguazio (https://www.iguazio.com/). We discuss how enterprises need a platform that brings together tools to streamline data science workflow with leading edge infrastructure that can tackle the most complex ML models — one that can bring innovative concepts into production sooner, integrated within your existing IT/DevOps-grounded approach.

This session explores:

1. What makes AI models unlike conventional software and how data science talent alone can’t get your valuable innovations into production
2. How to solve specific workflow and platform challenges that stall deployment and cause AI models to languish in the prototype stage
3. How IT leaders can scale AI success with an MLOps mindset and platform, and architectural choices that enable IT to industrialize AI

The MLOps Live Webinar Series is a collection of bi-weekly online events during which data science leaders explore the elements of managing and automating machine learning pipelines to bring data science into real business applications. The sessions go beyond theory, with industry leaders sharing challenges and practical solutions.

Learn more about our MLOps solution: https://www.iguazio.com/mlops/