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Demystifying Artificial Intelligence

Symbolic, Data-Driven, Statistical and Ethical AI

Emmanuel Gillain (Herausgeber)

Buch | Softcover

XVI, 460 Seiten

2024
De Gruyter (Verlag)
978-3-11-142567-2 (ISBN)

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Readable as a whole or by chapter, this book is intended for business practitioners that have a bachelor or master’s degree outside of the field of computer science or AI but still want to go deeper in their understanding of the AI technologies, their applicability and limitations. Such reading can also be useful as a general introduction for students taking an MBA class, or similar. The reader will find in this book a solid overview of the different AI technologies supporting systems that search, plan, reason, learn, adapt, understand or interact. All these terms are demystified in the book. The book covers the two traditional paradigms in AI: on one side, data-driven AI systems, that learn and perform by ingesting millions of data points into machine learning algorithms, and on the other side the consciously modelled AI systems, known as “symbolic AI” systems, that explicitly use symbolic representations. Rather than opposing those two paradigms, the book also shows how those different fields can complement each other and can be combined for even richer applications. Chapters are all structured in a pragmatic way that answers common sense questions about the why, what, how and limitations. The theory is illustrated with 22 real-world examples from the industry, giving altogether a solid understanding of AI concepts, applicability, and limitations.

Emmanuel Gillain works for Microsoft. He is a leader and a digital transformation expert with 27 years of international experience in bridging the gap between digital technologies and business. Thanks to his proficiency in leading large teams, combined with a blend of technology and business experience, he helps companies leverage digital technologies to their advantage. He holds a master's degree in engineering, earned numerous industry certifications in areas such as cloud, data, analytics, IoT and AI. He completed an executive management program at INSEAD business school, held the position of president of their technology club in Belgium, and served as an advisory board member for start-ups.

Erscheinungsdatum	04.07.2024
Reihe/Serie	De Gruyter STEM
Zusatzinfo	38 b/w and 148 col. ill., 50 b/w tbl.
Verlagsort	Berlin/Boston
Sprache	englisch
Maße	170 x 240 mm
Gewicht	801 g
Themenwelt	Informatik ► Software Entwicklung ► User Interfaces (HCI)
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Logic Reasoning • machine learning • Natural Language Processing • Neural networks
ISBN-10	3-11-142567-3 / 3111425673
ISBN-13	978-3-11-142567-2 / 9783111425672
Zustand	Neuware