Artificial Intelligence: Analytics, Platforms, and Risks
Springer International Publishing (Verlag)
978-3-031-64391-0 (ISBN)
- Noch nicht erschienen - erscheint am 14.08.2025
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
This companion volume to Artificial Intelligence: A Guide for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all backgrounds and expertise levels. It seeks to demystify AI analytics by exploring core concepts, explaining various stages (Descriptive, Diagnostic, Predictive, and Prescriptive), and highlighting their limitations. Through domain-specific applications, it illustrates how AI is utilized across industries for innovation and efficiency, providing dedicated subsections for healthcare, finance, customer support, and more.
Artificial Intelligence: Analytics, Platforms, and Risks thoroughly examines the AI infrastructure and ecosystem, offering insights into frameworks, platforms, tools, key players, and the critical hardware and software components supporting AI applications. It also addresses the multifaceted risks and challenges of AI, such as bad data, model selection bias, job displacement, weaponization, and ethical dilemmas, along with strategies to mitigate these risks.
Additionally, it discusses the hurdles in AI adoption, including roadblocks, myths, planning complexities, resource requirements, and data and model challenges. Looking ahead, the book explores the future of AI, highlighting catalysts for technological progress, the transformative impact across industries, and emerging trends shaping the field. With the aim of empowering readers to navigate the complexities of AI, harness its potential, and contribute to its responsible and ethical advancement, this book serves as a comprehensive guide to AI technologies.
Arshad Khan is an analytics professional and adjunct professor. He has authored 20 books in software, engineering, and business. Mr. Khan has taught at 9 universities including the University of California (Berkeley, Santa Cruz/Silicon Valley, and San Diego Extensions), Golden Gate University, Santa Clara University, and San Francisco Bay University. Mr. Khan has a graduate degree in chemical engineering and an MBA.
Preface.- Analytics.- Analytics Stages.- AI Analytics.- AI Analytics Applications.- Frameworks, Platforms and Tools.- AI Platforms: Key Players.- AI Platform: Additional Key Players.- AI Infrastructure.- Risks.- Additional Risks.- Risk Mitigation.- Mitigation Additional Risks.- Challenges.- AI Future.- Appendix.
| Erscheint lt. Verlag | 14.8.2025 |
|---|---|
| Zusatzinfo | X, 195 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Schlagworte | AI analytics • AI risks • Artificial Intelligence • Business Analytics • Business Intelligence • Data Analysis • Data Visualization • predictive analytics • risk mitigation |
| ISBN-10 | 3-031-64391-7 / 3031643917 |
| ISBN-13 | 978-3-031-64391-0 / 9783031643910 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
