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.

Discover the next major revolution in data science and AI and how it applies to your organization

In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Useful for both data scientists and business-side professionals, the book offers:

• Clear and compelling descriptions of the concept of causality and how it can benefit your organization
• Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems
• Useful strategies for deciding when to use correlation-based approaches and when to use causal inference

An enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.