
Deep Learning in Banking
Integrating Artificial Intelligence for Next-generation Financial Services
Wiley · Print & ebook · January 15, 2026
Unlock the potential of artificial intelligence to transform financial services for a new era Deep Learning in Banking; Leveraging Artificial Intelligence for Next-Generation Financial Services by Cristián Bravo, Sebastián Maldonado, and María Óskarsdóttir is a compelling resource that highlights the critical intersection of AI and banking.
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- Who it’s for
- Explore AI methods for lending, including multimodal models, regulatory challenges, explainability, and fairness.
- Genres
- Banks & Banking, Machine Learning, AI & Machine Learning
- Published
- Wiley, January 15, 2026
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Unlock the potential of artificial intelligence to transform financial services for a new era Deep Learning in Banking; Leveraging Artificial Intelligence for Next-Generation Financial Services by Cristián Bravo, Sebastián Maldonado, and María Óskarsdóttir is a compelling resource that highlights the critical intersection of AI and banking. It offers actionable insights and practical solutions for leveraging deep learning in lending institutions.
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With increasing regulatory challenges and the need for sophisticated models, this book provides essential strategies to navigate the evolving landscape of financial services. Structured for both academic and professional use, Deep Learning in Banking delivers a comprehensive examination of the methodological frameworks of AI applications in lending. You'll learn to combine images, text, time series, graphs and structured data to develop multimodal deep learning and large-scale models, and how they relate to explainability and fairness, with practical examples and real-world case studies that ensure effective implementation. Inside the book: - Learn how to develop AI models within the modern regulatory environment. - Explore multimodal data to develop deep learning models for financial institutions - Discover case studies highlighting the application of advanced machine learning techniques in banking Deep Learning in Banking is written for academics, financiers, banking professionals, and data scientists eager to revolutionize their approach to financial services. The book empowers its readers with the knowledge and tools needed to harness AI's full potential, paving the way for innovative and compliant solutions in the banking industry.
AI in Lending
Explore AI methods for lending, including multimodal models, regulatory challenges, explainability, and fairness.
Come here for
- Multimodal deep learning across images, text, time series, graphs, and structured data
- Case studies of advanced machine learning applications in banking
Expect
- Methodological frameworks for AI applications in lending
- Practical examples addressing model development within modern regulation
Where it sits
| Banks & Banking | 51% |
|---|---|
| Machine Learning | 43% |
| AI & Machine Learning | 36% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Banks & Banking
- Financial Risk Management
- Computer Vision
- Authors
- Cristian Bravo, Sebastian Maldonado, Maria Oskarsdottir
- Publisher
- Wiley
- Published
- January 15, 2026
- Format
- Print & ebook
- Reading lane
- Banks & Banking