{"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":"Mircea Neagovici — Robotic Process Automation (RPA) and ML","slug":"mircea-neagovici-robotic-process-automation-rpa-and-ml","published_at":"2022-04-21T12:00:00+00:00","page_url":"https://stenobird.com/podcast/gradient-dissent/mircea-neagovici-robotic-process-automation-rpa-and-ml","show_page_url":"https://stenobird.com/podcast/gradient-dissent","url":"https://wandb.ai/site/resources/podcast","audio_url":"https://podcasts.captivate.fm/media/0e308087-f262-49de-b4d5-b29cc55c9879/GD-Mircea-V3.mp3","summary":"Mircea Neagovici is VP, AI and Research at UiPath, where his team works on task mining and other ways of combining robotic process automation (RPA) with machine learning for their B2B products. Mircea and Lukas talk about the challenges of allowing customers to fine-tune their models, the trade-offs between traditional ML and more complex deep learning models, and how Mircea transitioned from a more traditional software engineering role to running a machine learning organization. Show notes (transcript and links): http://wandb.me/gd-mircea-neagovici --- ⏳ Timestamps: 0:00 Intro 1:05 Robotic Process Automation (RPA) 4:20 RPA and machine learning at UiPath 8:20 Fine-tuning & PyTorch vs TensorFlow 14:50 Monitoring models in production 16:33 Task mining 22:37 Trade-offs in ML models 29:45 Transitioning from software engineering to ML 34:02 ML teams vs engineering teams 40:41 Spending more time on data 43:55 The organizational machinery behind ML models 45:57 Outro --- Connect with Mircea: 📍 LinkedIn: https://www.linkedin.com/in/mirceaneagovici/ 📍 Careers at UiPath: https://www.uipath.com/company/careers --- 💬 Host: Lukas Biewald 📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla","meta_description":"Mircea Neagovici is VP, AI and Research at UiPath, where his team works on task mining and other ways of combining robotic process automation (RPA) with m…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2782,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/gradient-dissent/episodes/mircea-neagovici-robotic-process-automation-rpa-and-ml/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/gradient-dissent/mircea-neagovici-robotic-process-automation-rpa-and-ml.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}