USING GENERATIVE AI & MACHINE LEARNING IN THE ENTERPRISE + STARTUP SHOWCASE
AUSTIN + ON-DEMAND | March 20-21, 2024
Lydia Chen
Director of Data Science at Gannett
Named by RE·WORK as being one of the Top 30 Women in FinTech with projects featured in Forbes (twice) and The New York Times. Experienced team lead with analytics expertise in the financial services and technology industries. Demonstrated history of working closely with Senior Executives, leading cross-functional teams, and contributing to the work-product directly. Strong data science director with a Master of Science (M.S.) focused in Information, Risk, and Operations Management (Specialty in Business Analytics) from The University of Texas at Austin – Red McCombs School of Business.
Watch in-person: March 20-21 @ 10:10-10:40AM CT
Data Labeling: The Unsung Hero of Machine Learning
In this presentation, Lydia Chen, Director of Data Science at Gannett, will tackle the pivotal role data labeling has in machine learning. Lydia will begin by defining data labeling and its types and then delve into its role in the ML pipeline. Lydia will then discuss the common challenges faced during the annotation process. The presentation will then transition into a discussion on effective strategies for data labeling, including best practices, techniques for handling large datasets, and helpful tools and technologies. Lydia will bring these concepts to life through real-world examples, demonstrating the practical application of these strategies. The presentation will conclude with a look at the future of data labeling, including the role of automation and AI. Lydia will discuss potential future trends and how they might shape the field of data annotations.