Artificial Intelligence
-
Alfred Essa
About this book
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.
- Provides a thorough yet accessible introduction to AI
- Emphasizes real-world applications and the ethical dimensions of AI
- Provides a conceptual framework for leveraging AI to drive innovation across various sectors
Author / Editor information
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.
Topics
-
Download PDFPublicly Available
Frontmatter
I -
Requires Authentication UnlicensedLicensed
Dedication
V -
Requires Authentication UnlicensedLicensed
Preface
VII -
Download PDFPublicly Available
Contents
XIII - Part I Innovation
-
Requires Authentication UnlicensedLicensed
1 Innovation Dynamics: AI’s Transformative Potential
3 -
Requires Authentication UnlicensedLicensed
2 Innovation Culture: Igniting AI Creativity in Organizations
14 - Part II Computation
-
Requires Authentication UnlicensedLicensed
3 Algorithms: The Logic of Computing
27 -
Requires Authentication UnlicensedLicensed
4 Architecture: How Computers Work
35 - Part III Machine Learning
-
Requires Authentication UnlicensedLicensed
5 Machine Learning: Learning from Data
47 -
Requires Authentication UnlicensedLicensed
6 Classification: Predicting Categories (Case Study)
58 -
Requires Authentication UnlicensedLicensed
7 Regression: Predicting Continuous Values (Case Study)
68 - Part IV Deep Learning
-
Requires Authentication UnlicensedLicensed
8 Deep Learning: The Big Picture
83 -
Requires Authentication UnlicensedLicensed
9 Deep Learning: Under the Hood
92 - Part V Generative AI
-
Requires Authentication UnlicensedLicensed
10 Foundation Models: Large Language Model Basics
107 -
Requires Authentication UnlicensedLicensed
11 Foundation Models: How Large Language Models Become Smart
121 -
Requires Authentication UnlicensedLicensed
12 Expert Models: Grounding AI in Trusted Knowledge
133 -
Requires Authentication UnlicensedLicensed
13 Agentic AI: From Knowledge to Action
149 - Part VI Risk
-
Requires Authentication UnlicensedLicensed
14 System Failures: Why and How AI Makes Mistakes
161 -
Requires Authentication UnlicensedLicensed
15 Catastrophic Accidents: How to Identify and Address Major Failures
169 -
Requires Authentication UnlicensedLicensed
16 Risk Across the Action Boundary: From Passive to Agentic Systems
180 -
Requires Authentication UnlicensedLicensed
Bibliography
-
Requires Authentication UnlicensedLicensed
List of Figures
191 -
Requires Authentication UnlicensedLicensed
List of Tables
197 -
Requires Authentication UnlicensedLicensed
Index
199
-
Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
