{"podcast":{"title":"Gradient Dissent: Conversations on AI","slug":"gradient-dissent","podcast_index_feed_id":1020509,"rss_url":"https://feeds.captivate.fm/gradient-dissent/","website_url":"https://wandb.ai/site/resources/podcast","image_url":"https://artwork.captivate.fm/25fd1181-b46e-459b-85a5-d397eec4cdcf/JDLDW81K-wlJoAWL7ZnxLdTp.jpg","author":"Lukas Biewald","episode_count":136,"summary":"Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/gradient-dissent"},"episode":{"title":"Shreya Shankar — Operationalizing Machine Learning","slug":"shreya-shankar-operationalizing-machine-learning","published_at":"2023-03-03T00:39:00+00:00","page_url":"https://stenobird.com/podcast/gradient-dissent/shreya-shankar-operationalizing-machine-learning","show_page_url":"https://stenobird.com/podcast/gradient-dissent","url":"https://wandb.ai/wandb_fc/gradient-dissent/reports/Shreya-Shankar-Operationalizing-Machine-Learning--VmlldzozNjg4MzUz","audio_url":"https://podcasts.captivate.fm/media/37f2c611-ce30-4734-bfab-b7328bbbe43d/out.mp3","summary":"About This Episode Shreya Shankar is a computer scientist, PhD student in databases at UC Berkeley, and co-author of \"Operationalizing Machine Learning: An Interview Study\", an ethnographic interview study with 18 machine learning engineers across a variety of industries on their experience deploying and maintaining ML pipelines in production. Shreya explains the high-level findings of \"Operationalizing Machine Learning\"; variables that indicate a successful deployment (velocity, validation, and versioning), common pain points, and a grouping of the MLOps tool stack into four layers. Shreya and Lukas also discuss examples of data challenges in production, Jupyter Notebooks, and reproducibility. Show notes (transcript and links): http://wandb.me/gd-shreya --- 💬 *Host:* Lukas Biewald --- *Subscribe and listen to Gradient Dissent today!* 👉 Apple Podcasts: http://wandb.me/apple-podcasts​​ 👉 Google Podcasts: http://wandb.me/google-podcasts​ 👉 Spotify: http://wandb.me/spotify​","meta_description":"About This Episode Shreya Shankar is a computer scientist, PhD student in databases at UC Berkeley, and co-author of \"Operationalizing Machine Learning: A…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3278,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/gradient-dissent/episodes/shreya-shankar-operationalizing-machine-learning/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/gradient-dissent/shreya-shankar-operationalizing-machine-learning.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}