DevOps, Security, and Observability in ML In this talk we look at how you can build: MLOps processes on top of tooling stacks on top of infrastructure Click here (https://app.simplenote.com/publish/D3pZXF) for a deeper dive into what we’ll cover in these three points. Also, Luke gives a sneak peek of something totally new we're working on. We'll post Luke's topic on DevOps, Security, and Observability in ML in another video.
In this episode
Founder, MLOps Consulting
Luke is a passionate technology leader. Experienced in CEO, CTO, tech lead, product, sales, and engineering roles. He has a proven ability to conceive and execute a product vision from strategy to implementation while iterating on product-market fit. Luke has a deep understanding of AI/ML, infrastructure software and systems programming, containers, microservices, storage, networking, distributed systems, DevOps, MLOps, and CI/CD workflows.
Jose Navarro is a Machine Learning Infrastructure Engineer making everyday cooking fun at Cookpad, where its recipe platform has more than 40 million monthly users. He holds an MSc in Machine Learning and High-Performance Computing from the University of Bristol. He is interested in Cloud Native technologies, serverless, and event-driven architecture.