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Generative AI For Executives - Ahmed Bouzid, Paolo Narciso, Weiye Ma

Generative AI For Executives

A Strategic Roadmap for Your Organization
Buch | Softcover
186 Seiten
2024
Apress (Verlag)
979-8-8688-0949-1 (ISBN)
CHF 82,35 inkl. MwSt
In the fast-evolving digital landscape, understanding the potential of generative AI is a strategic advantage. This book can serve as an easy to read introduction to the topic of the transformative power of AI in content creation, customer engagement, and operational efficiency. By deciphering complex AI concepts into practical insights, we empower decision-makers to envision innovative strategies, foster cross-industry collaborations, and navigate ethical considerations. The book will help executives and business decision makers to harness the immense potential of generative AI responsibly, ensuring data integrity and compliance while fostering a competitive edge.




The book is focused on (1) Explaining in jargon-free language what Generative AI, and AI in general, (2) What problems they solve, and (3) What technologies make them possible.




What You Will Learn

How generative AI models are built, how they generate new data or content, and the underlying algorithms powering these processes

Various practical applications of generative AI in business contexts

The challenges that could arise during the integration of generative AI into business processes




Who This Book is For

This book is meant to be bought and read by busy executives and business leaders

Ahmed Bouzid is Founder and CEO of Witlingo, a McLean, Virginia, based startup that builds products and solutions to help brands establish and grow their Voice and Social Audio presence.   Prior to Witlingo, Dr. Bouzid was Head of Alexa’s Smart Home Product at Amazon and VP of Product and Innovation at Genesys. Dr. Bouzid is an Ambassador at the Open Voice Network and heads their Social Audio Community.  Dr. Bouzid holds 12 patents in the Speech Recognition and Natural Language Processing field, and was recognized as a “Speech Luminary” by Speech Technology Magazine. Paolo Narciso is head of Product and Program Development at AARP Foundation, a Washington, DC based national non-profit.  In his role, he develops and deploys solutions that build financial stability and social connections.  He holds a Doctorate in Education from Creighton University and sits on multiple technology boards, advising on the use of blockchain in healthcare and to secure property rights for marginalized populations.  Weiye Ma: Dr. Weiye Ma obtained her PhD in Speech Processing and Recognition from Katholieke Universiteit Leuven (Belgium) in 1999, and has been practicing professionally in the Speech Recognition field since 1994.  She has held several technical leadership roles in Unisys, Schneider Electric, Convergys, and is now Lead Speech Scientist at the MITRE Corporation, in charge of building Speech systems for the Federal Aviation Agency.

Chapter 1: Unraveling the Basics of Generative AI.- Chapter 2: Exploring the Transformative Potential of Generative AI.- Chapter 3: Revolutionizing Content: Generative AI in Marketing and Advertising.- Chapter 4: Elevating Customer Interactions with Generative AI.- Chapter 5: Streamlining Operations through Generative AI.- Chapter 6: Pioneering Products with Generative AI.- Chapter 7: Charting the Course: Strategies for Successful Generative AI Implementation.- Chapter 8: Navigating Risks and Legalities of Generative AI.- Chapter 9: Quantifying Success: Evaluating the ROI of Generative AI Initiatives.- Chapter 10: Looking Ahead: Preparing for the Future of Generative AI.

Erscheinungsdatum
Zusatzinfo 1 Illustrations, black and white; XV, 186 p. 1 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
ISBN-13 979-8-8688-0949-1 / 9798868809491
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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