Data Quality Assessment using TensorFlow Data Validation

In this webinar with Vidhi Chugh, Staff Data Scientist at Walmart Global Tech, we see that the research shows that the majority of the ML projects do not make it to production.

In this talk inspired by data-centric AI, we discuss the typical production woes and how maintaining good quality data plays a crucial role in developing a successful machine learning model. Learn various sources and types of deviations and errors that can degrade data quality. The talk emphasizes fostering data culture and will conclude with a demo using TensorFlow data validation.