PAW Business 2020’s agenda will cover many hot topics and advanced methods across these tracks, including algorithmic fairness, analytics culture, and leadership, analytics in the entertainment industry, analytics in retail, analytics strategy, churn modeling, consumer reimbursement claims, cross-enterprise applications, cross-enterprise management, customer feedback, cybersecurity applications, data engineering, data management and data preparation, data preparation, ethics, gaining stakeholder buy-in, industry/university partnerships, machine learning automation, management, marketing analytics, machine learning for social good, machine learning in adtech, model explainability, modeling methods, pitfalls, and best practices, presenting modeling results, product recommendations, project leadership, reinforcement learning, supply chain management, team building, text analytics, uplift modeling, workforce analytics, and other innovative applications that benefit organizations in new and creative ways.