Ryan Dawson Core Member @ Seldon Open Source Team LinkedIn: https://www.linkedin.com/in/ryan-dawson-501ab9123/ Reliably deploying and maintaining machine learning applications is complex. There's a dizzying array of tools and they look different from the usual DevOps tools. To apply SRE skills to ML, we need to understand the specific challenges of ML build-deploy-monitor workflows. We'll use reference examples to understand the cycle in terms of data prep, training, rollout and monitoring. We'll see that some key challenges relate to training models from slices of large and varying data domains - a problem alien to the mainstream DevOps world. — 🥇 Gold Sponsors: LightStep Google 🥈 Silver Sponsors: MayaData Aval Digital Labs Elastic The Pathwayz Group 🤝 Media Partner JetBrains — 0:00 Intro 0:35 Talk — Website 🚀🪐 https://www.conf42.com Reach out 📧📭 mark@conf42.com Conf42 Discord 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM LinkedIn 👨‍💼💼 https://www.linkedin.com/company/49110720/ Twitter 🎵🐦https://twitter.com/conf42com Conf42Cast @ Spotify 🎧 https://tinyurl.com/bnyj6a8y