Compatibilità
- Computer
- Android
- Ebook Reader
- iPhone/iPad”
- Kindle
Dettagli
Bentham Science Publishers.
Trama
Across twelve insightful chapters, the book traces the evolution of AI-driven transformation, from the emergence of banking in the metaverse and AI-enabled climate risk mitigation to fraud detection, underwriting, credit scoring, and accounting practices, with a special focus on emerging markets such as India. Later chapters explore fintech risk management, cross-sector predictive analytics, and the ethical challenges posed by generative AI. The concluding sections focus on trust, governance frameworks, workforce transformation, and the future trajectory of AI-powered organisations.
By blending academic depth with real-world relevance, this book equips readers with strategic, technical, and ethical perspectives needed to navigate AI-led digital transformation.
Key Features
Real-world case studies supported by industry data (2019–2024)
Covers emerging technologies, including Generative AI and blockchain
Provides practical insights into AI-driven risk management and predictive analytics
Ethical, regulatory, and governance perspectives for responsible AI adoption
Discusses applications across finance, healthcare, marketing, and manufacturing
Target Readership
Academics, students and professionals engaged in the digital transformation of business, finance, data science, and technology initiatives.


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