Aaron Colak — ML and NLP in Experience Management

Aaron Colak is the Leader of Core Machine Learning at Qualtrics, an experiment management company that takes large language models and applies them to real-world, B2B use cases.In this episode, Aaron describes mixing classical linguistic analysis with deep learning models and how Qualtrics organized their machine learning organizations and model to leverage the best of these techniques. He also explains how advances in NLP have invited new opportunities in low-resource languages.Show notes (transcript and links): http://wandb.me/gd-aaron-colak---⏳ Timestamps: 00:00 Intro00:57 Evolving from surveys to experience management04:56 Detecting sentiment with ML10:57 Working with large language models and rule-based systems14:50 Zero-shot learning, NLP, and low-resource languages20:11 Letting customers control data25:13 Deep learning and tabular data28:40 Hyperscalers and performance monitoring34:54 Combining deep learning with linguistics40:03 A sense of accomplishment42:52 Causality and observational data in healthcare45:09 Challenges of interdisciplinary collaboration49:27 Outro---Connect with Aaron and Qualtrics📍 Aaron on LinkedIn: https://www.linkedin.com/in/aaron-r-colak-3522308/📍 Qualtrics on Twitter: https://twitter.com/qualtrics/📍 Careers at Qualtrics: https://www.qualtrics.com/careers/---💬 Host: Lukas Biewald📹 Producers: Riley Fields, Cayla Sharp, Angelica Pan, Lavanya Shukla---Subscribe and listen to our podcast today!👉 Apple Podcasts: http://wandb.me/apple-podcasts​​👉 Google Podcasts: http://wandb.me/google-podcasts​👉 Spotify: http://wandb.me/spotify​

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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.