Tony Paikeday, Senior Director of AI Systems of NVIDIA, discusses 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 or DevOps-grounded approach.
Watch this webinar to learn:
• What makes AI models unlike conventional software and how data science talent alone can’t get your valuable innovations into production
• How to solve specific workflow and platform challenges that stall deployment and cause AI models to languish in the prototype stage
• How IT leaders can scale AI success with an MLOps mindset and platform, and architectural choices that enable IT to industrialize AI