Banking 4.0

The Industrialised Bank of Tomorrow
1. Auflage 2022
ISBN: 978-981-1660-71-9
Verlag: Springer Nature Singapore

Buch, Englisch, 307 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 522 g

This book shows banking professionals how to leverage the best practices in the industry to build a structured and coordinated approach towards the digitization of banking processes. It provides a roadmap and templates in order to industrialize the financial services firm over iterative cycles.
To achieve the planned business and revenue results at the optimal costs, the digital transformation has to be calibrated and coordinated across both the front and back office, scaled and timed against external innovation benchmarks and Fintechs. To this end, data collection and evaluation must be ingrained, banking-specific artificial intelligence methods must be included, and all digitization approaches must be harmonized on an iterative basis with the experience gained. Spread over several chapters, this book provides a calibration and coordination framework for the delivery of the digital bank 4.0.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Bhatia, Mohan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Digital Lifestyle Online Banking & Finance
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Bankwirtschaft
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

Introduction- Evolution of Banking.- Tactical Approach to the Industrialisation.- Investing in Alignment of Industrialisation and Innovation Engines.- Industrialising Data.- Deliver Digital Experience.- Cloud Adoption- A Foundational Engine.- Industrialise to Manage Changes in the External Environment.- Platform Banking Business.- APIs are the Public Persona of an Induatrialised Bank.- BIAN Framework to build Banking AI and Semantic APIs.- Conversational Banking.- Banking AI as a Service.

Über Autor(innen)

Mohan Bhatia is a Distinguished Member of Technical Staff at Wipro. He also heads BFSI Risk and Compliance Practice globally and helps to build the processes for the bank 4.0. He leads artificial intelligence initiatives and strategies where he is developing data science, machine learning, NLP, cognitive computing automation solutions for BFSI customers. This way, he helps BFSI companies to leverage front office digitization for better compliance, customer engagement and back office automation by building enterprise wide risk management modeling platforms. Mohan has more than 20 years of industry experience across risk and compliance domains, including defining policies, processes, and technology systems.