Artificial Intelligence

Regular price €25.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Alfred Essa
Artificial intelligence
Author_Alfred Essa
Category=KJC
Category=KJMK
Category=UBJ
Category=UYQ
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction

Product details

  • ISBN 9783111582382
  • Weight: 340g
  • Dimensions: 155 x 230mm
  • Publication Date: 06 Nov 2025
  • Publisher: De Gruyter
  • Publication City/Country: DE
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

Artificial Intelligence: Shaping the Future of Innovation provides a concise non-technical introduction to artificial intelligence as the key driver of innovation in the new economy. The book positions AI as a General Purpose Technology, vital for driving advancements across all sectors of business, government, and society.

Written for leaders, innovators, and decision-makers, this book bridges the gap between technical complexity and practical application, demystifying AI's core concepts while illuminating its catalytic impact across industries and organizations. Through a careful examination of innovation dynamics, computational foundations, and core AI principles, readers will gain the essential knowledge needed to both understand and effectively navigate the AI landscape.

This succinct guide makes technical concepts accessible—from algorithms and machine learning to deep learning and generative AI—giving leaders the clarity they need to engage confidently with AI technology.

Alfred Essa has led pioneering AI and advanced analytics teams across academia and industry. As Simon Fellow at Carnegie Mellon University, VP of Analytics and R&D at McGraw Hill Education, and CIO at MIT's Sloan School of Management, he has consistently bridged the gap between theoretical innovation and practical implementation. His most recent book is Practical AI for Business Leaders, Product Managers, and Entrepreneurs. Essa has published more than 25 research papers spanning adaptive learning systems, risk analytics, and innovative approaches to data visualization using predictive model ensembles. He holds degrees from Haverford College and Yale University.

More from this author