AI and predictive analytics hold a great promise for organisations. Fraud detection, next-best action, operational efficiency and forecast analysis are among the many business challenges that AI and analytics can help solve. However, bad data is currently hindering AI since machine learning (ML) models are only as good as the data you feed them. In this session, Greg Hanson of Informatica will discuss an end-to-end data engineering approach to achieving good clean data you can trust for successful AI initiatives. This approach includes data discovery, ingestion, integration, quality, prep, and governance.