Mircea Neagovici is VP, AI and Research at UiPath, where his team is working on task mining and other ways to combine robotic process automation (RPA) with machine learning for their B2B products.

Mircea and Lukas talk about the challenges customers face in refining 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 (transcription and links): http://wandb.me/gd-mircea-neagovici

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Timestamps:
0:00 Introduction
1:05 Robotic Process Automation (RPA)
4:20 RPA and machine learning at UiPath
8:20 Refinement & PyTorch vs. TensorFlow
14:50 Supervision of models in production
16:33 Task mining
22:37 Tradeoffs in ML models
29:45 Transition from software engineering to ML
34:02 ML teams vs. engineering teams
40:41 Spend more time on data
43:55 The organizational mechanism behind ML models
45:57 Outro

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Contact Mircea:
LinkedIn: https://www.linkedin.com/in/mirceaneagovici/
Working at UiPath: https://www.uipath.com/company/careers

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Host: Lucas Biewald
Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla

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