Abby Tse
Abby Tse is Chair of PyData NYC, where she has led a community of over 8,000 data professionals since 2022. She organizes the annual PyData NYC/Boston Conference, a three-day event that brings together 600+ attendees from around the world to explore the latest in data science, machine learning, and AI. Abby is currently an MBA student at Columbia Business School, where she focuses on entrepreneurship and innovation. Previously, she worked at IBM, where she built enterprise AI systems, including large-scale generative AI applications to improve knowledge access.
Session
Unlocking the full potential of AI starts with your data, but real-world documents come in countless formats and levels of complexity. This session will give you hands-on experience with Docling, an open-source Python library designed to convert complex documents into AI-ready formats. Learn how Docling simplifies document processing, enabling you to efficiently harness all your data for downstream AI and analytics applications.