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Banking / WHITE PAPER
Lalatendu Sahoo
Senior Advisor and Architect, Technology and Transformation Advisory, BFSI, TCS
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Launching innovative digital products and services and upgrading existing offerings is key to retaining an edge in the banking, financial services, and insurance (BFSI) industry. However, testing new offerings and upgrades to ensure high performance and superior experience can be a challenge given the need to deliver quickly. As a result, automation in testing has been on the rise across the BFSI test function. Going forward, embracing a machine-first approach in the BFSI test function will help further improve test efficacy through real-time and real-life testing.
Moving to a machine-first approach in the BFSI test function will entail adopting the machine-first assurance model (MFAM) built using artificial intelligence and machine learning. To successfully implement the MFAM model, BFSI firms must:
Gain an understanding of their test function and landscape
Rethink the baseline and benchmarks for a machine-first world
Identify focus areas and initiatives to move further on MFAM
Leveraging Generative AI for Trade Finance Fraud Risk Management
Reimagining Claims Management with TCS Agentic Claims Processing
Integrating Generative AI into Risk Management and Compliance
A 4-pillar Framework to Drive AI Investment RoI in BFSI