The Path to Predictive Analytics and Machine Learning` is a book that explores the latest step in real-time analytics: predictive analytics, and provides a playbook for building applications that take advantage of machine learning. The book covers various aspects of real-time data processing, including building real-time pipelines, processing transactions and analytics in a single database, and applying existing batch processes to real-time data pipelines. It also introduces the reader to applied machine learning, highlighting tradeoffs between training and scoring latency, bias and variance, and accuracy versus complexity. The book aims to make predictive analytics more accessible by combining well-understood machine learning techniques with technology advances in software and hardware, ultimately paving a logical path forward for making the leap from machine learning to broader artificial intelligence.