{"podcast":{"title":"AI Engineering Podcast","slug":"ai-engineering-podcast","podcast_index_feed_id":5875646,"rss_url":"https://serve.podhome.fm/rss/c9abdd38-a5dc-5eb2-96fd-f833f93208a7","website_url":"https://www.aiengineeringpodcast.com","image_url":"https://assets.podhome.fm/f6ff0caa-931b-4c08-bfdd-08dc7f5cd336/638557211890591941ai_engineering_podcast_logo.jpg","author":"Tobias Macey","episode_count":79,"summary":"This show is your guidebook to building scalable and maintainable AI systems. You will learn how to architect AI applications, apply AI to your work, and the considerations involved in building or customizing new models. Everything that you need to know to deliver real impact and value with machine learning and artificial intelligence.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/ai-engineering-podcast"},"episode":{"title":"How To Design And Build Machine Learning Systems For Reasonable Scale","slug":"how-to-design-and-build-machine-learning-systems-for-reasonable-scale","published_at":"2022-09-10T13:00:00+00:00","page_url":"https://stenobird.com/podcast/ai-engineering-podcast/how-to-design-and-build-machine-learning-systems-for-reasonable-scale","show_page_url":"https://stenobird.com/podcast/ai-engineering-podcast","url":"https://www.aiengineeringpodcast.com/reasonable-scale-machine-learning-systems-episode-10","audio_url":"https://op3.dev/e/dts.podtrac.com/redirect.mp3/serve.podhome.fm/episode/f6ff0caa-931b-4c08-bfdd-08dc7f5cd336/638530538583652788ffbf0363-26f1-4f3f-add7-4c4f214a08b3v2.mp3","summary":"Summary Using machine learning in production requires a sophisticated set of cooperating technologies. A majority of resources that are available for understanding how to design and operate these platforms are focused on either simple examples that don’t scale, or over-engineered technologies designed for the massive scale of big tech companies. In this episode Jacopo Tagliabue shares his vision for \"ML at reasonable scale\" and how you can adopt these patterns for building your own platforms. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. Do you wish you could use artificial intelligence to drive your business the way Big Tech does, but don’t have a money printer? Graft is a cloud-native platform that aims to make the AI of the 1% accessible to the 99%. Wield the most advanced techniques for unlocking the value of data, including text, images, video, audio, and graphs. No machine learning skills required, no team to hire, and no infrastructure to build or maintain. For more information on Graft or to schedule a demo, visit themachinelearningpodcast.com/graft today and tell them Tobias sent you. Your host is Tobias Macey and today I’m interviewing Jacopo Tagliabue about building \"reasonable scale\" ML systems Interview Introduction How did you get involved in machine learning? How would you describe the current state of the ecosystem for ML practitioners? (e.g. tool selection, availability of information/tutorials, etc.)&nbsp; What are some of the notable changes that you have seen over the past 2 – 5 years? How have the evolutions in the data engineering space been reflected in/influenced the way that ML is being done? What are the challenges/points of friction that ML practi…","meta_description":"Summary Using machine learning in production requires a sophisticated set of cooperating technologies. A majority of resources that are available for unde…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3250,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/ai-engineering-podcast/episodes/how-to-design-and-build-machine-learning-systems-for-reasonable-scale/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/ai-engineering-podcast/how-to-design-and-build-machine-learning-systems-for-reasonable-scale.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}