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.
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.
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.