Causal Artificial Intelligence

Explore the next major revolution in data science and artificial intelligence: causal AI In Causal Artificial Intelligence: The Next Step in Effective Business AI , a team of distinguished AI and analytics professionals delivers an incisive and comprehensive exploration of the models and data of causal inference and causal artificial intelligence. Authors Judith Hurwitz and John Thompson offer the technical detail-explained clearly and accessibly-necessary to understand the underlying technologies, as well as the business context that frames causal AI from a perspective of daily business operations. You'll discover meaningful and practical insights into what causality is and how it can benefit your organization and understand the critical differences between correlation-based approaches to AI and causality-based approaches. The book also includes easy-to-understand use cases and examples that demonstrate the value of causality for solving business problems. Perfect for data scientists, subject matter experts in a variety of fields, as well as managers, executives, and other business leaders, Causal Artificial Intelligence is a one-of-a-kind resource designed to open eyes and minds to the incredible possibilities of casual AI and its implications for businesses of all kinds.