In this TDWI webinar, speakers will begin by defining machine learning (ML), plus related technologies and practices in artificial intelligence and predictive analytics. The presentation will also discuss ML's compelling use cases in business analytics and the enablement of automated responses that do not require human intervention. The use cases covered will include: sales recommendations, offers that halt customer churn, automatic personalization of marketing campaigns, fraud prediction, preventative maintenance schedules for machinery, and trip routing. However, the core of the webinar will help explain the many data management requirements that users must address in order to successfully apply machine learning to their analytics. Satisfying ML's diverse data requirements involves a modern data management infrastructure, typically including cloud-based platforms for data warehousing, data lakes, data integration, and more.