Buch, Englisch, 208 Seiten, Format (B × H): 156 mm x 234 mm
Charting the Next AI Frontier
Buch, Englisch, 208 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-032-90764-2
Verlag: Taylor & Francis Ltd
This engaging guide is designed to demystify artificial intelligence (AI) in the business world, no advanced maths degrees or robotic companions are necessary. It tackles everything from traditional AI to the exciting realm of Generative AI, clearly distinguishing between what is genuinely beneficial and what is merely hype, all while demonstrating how to leverage AI to address real-world business challenges.
The first half of the book serves as an essential playbook for businesses eager to understand AI’s potential. It cuts through the jargon, illuminating what AI can achieve and showcasing how organisations are already harnessing it to save time, enhance efficiency, and secure a competitive advantage.
The second half introduces the concept of the “AI Native” - a future where AI is seamlessly integrated into business operations and daily life. This transformation opens up thrilling opportunities, including new markets and creative work methods. It also prompts critical questions, like: what happens when AI falters? The book carefully balances optimism with caution, offering insights that inspire thoughtful reflection.
Whether you’re leading a team, launching a startup, or gearing up for a technology-driven career, this book equips readers to make informed decisions about AI. It is an essential resource for executives, entrepreneurs, and graduate students alike, stripping away the buzzwords to deliver actionable insights.
Zielgruppe
Postgraduate, Professional Practice & Development, Professional Reference, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensführung
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
Weitere Infos & Material
1. Introduction 2. Traditional AI: Taking Advantage of a Proven Technology 3. Traditional AI in Current Business Use 4. What is GenAI? What are its Current Limitations? 5. Current and Future Trajectories of GenAI 6. Gen AI in Current Business User 7. AI Native 8. AI Unchecked 9. Conclusion