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Causal Artificial Intelligence
The Next Step in Effective Business AI
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Causal Artificial Intelligence
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
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Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
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Description
Discover the next major revolution in data science and AI and how it applies to your organisation.
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 organisation.
- 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 familiarise themselves with a rapidly growing area of AI application and research.
Book Details
INFORMATION
ISBN: 9781394184132
Publisher: John Wiley & Sons Inc
Format: Paperback / softback
Date Published: 21 September 2023
Country: United States
Imprint: John Wiley & Sons Inc
Audience: General / adult
DIMENSIONS
Spine width: 23.0mm
Width: 150.0mm
Height: 226.0mm
Weight: 431g
Pages: 384
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.
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