The State of Machine Learning Data Quality Report highlights the challenges faced by data scientists in fixing data errors, with 80% of their time spent on this task. The report explores issues across various data modalities and discusses how technology can help mitigate these problems. Galileo, a machine learning data quality intelligence tool, aims to inspect and fix data quality errors throughout the ML process, built on the experience of former Uber and Google AI engineers. By focusing on high-quality data, Galileo seeks to create a more productive and bias-free future for the world, allowing data scientists to save time and focus on more enjoyable tasks.