Causal Artificial Intelligence: The Next Step in Effective Business AI

Judith S. Hurwitz; John K. Thompson

ISBN 10: 1394184131 / ISBN 13: 9781394184132

Published by JOHN WILEY & SONS INC, 2023

About this Item

Idioma/Language: Inglés. 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 bookâ 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. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

Seller Inventory # 24115529

Bibliographic Details

• Title: Causal Artificial Intelligence: The Next Step in Effective Business AI
• Publisher: JOHN WILEY & SONS INC
• Publication Date: 2023
• Language: English
• ISBN 10: 1394184131
• ISBN 13: 9781394184132
• Binding: Soft cover
• Condition: New
• Weight: 440 grams
• Seller catalogs:
  • Literatura en Inglés

About this title

Synopsis

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.

About the Author

JUDITH S. HURWITZ is the chief evangelist at Geminos Software, a causal AI platform company. For more than 35 years she has been a strategist, technology consultant to software providers, and a thought leader having authored 10 books in topics ranging from augmented intelligence, data analytics, and cloud computing.

JOHN K. THOMPSON is an international technology executive with over 37 years of experience in the fields of data, advanced analytics, and artificial intelligence (AI). John is responsible for the global AI function at EY. He has previously led the global Artificial Intelligence and Rapid Data Lab teams at CSL Behring and is the bestselling author of three books on data analytics.