Analytics initiatives continue moving closer toward real-time data and analysis, built upon a foundation of increasingly complex data feeds and information demands. Predictive analytics, particularly machine learning, can help utilities make real-time and reliable predictions for customer service, customer engagement, and overall grid optimization. Yet utilities still grapple with how to make the best use of these analytics and vast data sources.