Building Machine Learning Systems for the Era of Data-Centric AI
Explore a conference talk from INSAIT 2022 where Prof. Ce Zhang of ETH Zurich delves into the evolution of machine learning systems and the challenges of data-centric AI. Learn how despite simplified model training processes, ML developers face ongoing challenges in building high-quality, trustworthy systems. Discover insights into next-generation ML platforms that focus on data quality, trustworthiness, and regulatory compliance. Examine practical approaches to data debugging and cleaning for improving ML model quality, while gaining a comprehensive overview of current research trends and future directions in ML system development. Through real-world examples and systematic solutions, understand the critical relationship between data management and machine learning success in modern AI development.