Mircea Neagovici — Robotic Process Automation (RPA) and ML

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 Intro1:05 Robotic Process Automation (RPA)4:20 RPA and machine learning at UiPath8:20 Fine-tuning & PyTorch vs TensorFlow14:50 Monitoring models in production16:33 Task mining22:37 Trade-offs in ML models29:45 Transitioning from software engineering to ML34:02 ML teams vs engineering teams40:41 Spending more time on data43:55 The organizational machinery behind ML models45:57 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

Om Podcasten

Gradient Dissent is a machine learning podcast from Weights & Biases with hosts Lukas Biewald, Lavanya Shukla and Caryn Marooney. It takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at NVIDIA, Meta, Google, Lyft, OpenAI, and more.