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Banking / WHITE PAPER
Prasad Chitta
Technology Leader, Banking, Financial Services, and Insurance, TCS
Praveen Kumar B S
Chief Architect, Banking, Financial Services, and Insurance, TCS
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Financial institutions rely on timely insights for strategic and tactical decision-making. By embracing data analytics in banking, the quality of decision-making process can be improved. Additionally, with vertically integrated business models giving way to horizontally connected ecosystems, real-time access to insights is critical to enable hyper-personalization in banking and improve customer experience. However, the use of insights is limited to niche areas of financial services due to manual processes in the data analytics and insights function.
Banks must leverage machine intelligence and other emerging technologies to automate critical components, generate continuous insights, and gain a competitive edge. To achieve this, banks must embrace the templatized SAIL approach to automate insights generation. With the SAIL approach, banks can:
Ensure near real-time access to insights
Enhance business processes and capabilities
Craft hyper-personalized offerings and improve experience
Felt Finance: An AI-driven Intelligence Layer with Human Empathy
2/4Responsible AI in Financial Crime: Global Compliance and Governance
3/4Scaling AI in Financial Services to Deliver Value
4/4The CxO Playbook for Acing AI-led Business Transformation