Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies (TinyTechGuides) - Softcover

Sweenor, David E.; Mulkers, Yves

Softcover

ISBN 13: 9798989337859

Publisher: TinyTechMedia LLC, 2024

Synopsis

Within the past year, generative AI has broken barriers and transformed how we think about what computers are truly capable of. But, with the marketing hype and generative AI washing of content, it’s increasingly difficult for business leaders and practitioners to go beyond the art of the possible and answer that critical question–how is generative AI actually being used in organizations?

With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI.

The world is transforming before our very eyes. Don’t get left behind—while understanding the powers and perils of generative AI. Full of use cases and real-world applications, this book is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power.

Gain a competitive edge in today's marketplace with Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies. Remember, it's not the tech that's tiny, just the book!™

About this title

About the Author

David Sweenor is a top-25 AI and analytics thought leader, international speaker, entrepreneur, and acclaimed author who holds several patents. He is a marketing leader, analytics practitioner, and specialist in the business application of AI, ML, data science, the IoT, and business intelligence.
 
With over 25 years of hands-on business analytics experience, Sweenor has supported such organizations as Alation, Alteryx, TIBCO, SAS, IBM, Dell, and Quest in advanced analytical roles. Follow David on Twitter and connect with him on LinkedIn.
 
Yves Mulkers is a strategist and thought leader in the realm of data and analytics. With a background in chemistry and operational industrial environments, he has navigated his way through various technical terrains—from the early days of Commodore 64 and database development to object-oriented programming. Today, he is engrossed in the exciting advancements in data management, analytics, machine learning, and artificial intelligence.
 
Yves specializes in helping digital marketers—particularly those working in fast-growing scale-ups—to drive business impact through data. As the Data Strategist at 7wData and host of the Data Strategy Guru's Podcast, he uses a deep understanding of vendor and scale-up solutions to provide tailored advice. Yves takes a holistic approach to architecture to ensure you make future-proof technology choices on your journey to becoming data-driven. Find Yves on Twitter and LinkedIn or the 7wData website.

From the Back Cover

With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI.

'A Dynamic Duo! Yves Mulkers and David Sweenor have combined forces to create a succinct, compelling explanation of how generative AI can be applied in the real world."

-Eric Kavanaugh, AI Analyst and Syndicated Radio Host


"Every executive needs to read this guide and understand how generative AI is already affecting their business environment! What I love most about this TinyTechGuide is that it provides both industry and departmental examples (over 70). This quick read distills lessons from all of these examples, adds the most salient industry and technology trends, and provides discrete and actionable steps that executives can take this year, this quarter, and this month to make their generative AI efforts more meaningful and business-oriented."

-Hyoun Park, Chief Analyst, Amalgam Insights


"This book excels in thoroughly exploring, articulating, and cataloging various business applications across various industries and functional areas. It offers clear, concise examples of diverse business scenarios, making it an indispensable resource for practitioners embarking on their journey with Generative AI."

Arup Das, Professor, Applied AI ML, Villanova University

Edition details

• Publisher: TinyTechMedia LLC
• Publication date: 2024
• Language: English
• ISBN 13: 9798989337859
• Binding: Paperback
• Number of pages: 143