Coffee Sessions #50 with Alex Chung and Srivathsan Canchi, Creating MLOps Standards.// AbstractWith the explosion in tools and opinionated frameworks for machine learning, it's very hard to define standards and best practices for MLOps and ML platforms. Based on their building AWS SageMaker and Intuit's ML Platform respectively, Alex Chung and Srivathsan Canchi talk with Demetrios and Vishnu about their experience navigating "tooling sprawl". They discuss their efforts to solve this problem organizationally with Social Good Technologies and technically with mlctl, the control plane for MLOps.// BioAlex ChungAlex is a former Senior Product Manager at AWS Sagemaker and an ML Data Strategy and Ops lead at Facebook. He's passionate about the interoperability of MLOps tooling for enterprises as an avenue to accelerate the industry.Srivathsan CanchiSrivathsan leads the machine learning platform engineering team at Intuit. The ML platform includes real-time distributed featurization, scoring, and feedback loops. He has a breadth of experience building high scale mission-critical platforms. Srivathsan also has extensive experience with K8s at Intuit and previously at eBay, where his team was responsible for building a PaaS on top of K8s and OpenStack.--------------- ✌️Connect With Us ✌️ -------------Join our slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerConnect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/Connect with Alex on LinkedIn: https://linkedin.com/in/alex-chung-gsdConnect with Sri on LinkedIn: https://www.linkedin.com/in/srivathsancanchi/Timestamps:[[[[[           1. Education           2. Standardization           3. Orchestration  [[[[[[[[[[