Bringing Structure Into an Unstructured World - Applying State-of-the-Art Machine Learning at Digits

Explore how Digits applies cutting-edge machine learning research to production projects in this 40-minute conference talk from the Toronto Machine Learning Series. Discover how transformer models are utilized to efficiently extract and structure information from unstructured financial data. Learn about Digits' ML Engineering efforts, including the process of taking experiments from conception to continuous deployment in a production environment using TensorFlow and TensorFlow Extended. Gain insights from experienced professionals Hannes Hapke, ML Engineer and Google Developer Expert, and Jo Pu, Software Engineer, as they share their expertise in NLP, data engineering, and infrastructure development for real-time financial applications.

Bringing Structure Into an Unstructured World Apply State of the Art Machine Learning at Digits