The document discusses how automated machine learning can enable large scale adoption of predictive analytics. It notes that digitization is changing customer behavior and every industry. Predictive analytics needs to be a core capability for 21st century organizations. Automated machine learning uses artificial intelligence to build models for prediction and intervention at scale with a focus on accuracy, transparency, and ease of use. This reduces the prerequisites of needing data science skills and programming knowledge. The document advocates a process automation focused delivery model over a data scientist focused model to enable broader use of predictive analytics within organizations.