AI in BFSI - Readiness, Risk and Rewards

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AI in BFSI - Readiness, Risk and Rewards

Artificial Intelligence is transforming the Banking, Financial Services, and Insurance sector by enhancing efficiency and customer experiences. Industry leaders at the Tech and Innovation Summit 2025 discussed the readiness of financial institutions to adopt AI, highlighting its role in risk assessment and operational streamlining. However, challenges such as bias and regulatory concerns remain significant.

Companies like InCred and Digit Insurance are leveraging AI to improve lending and insurance processes. InCred utilizes machine learning for risk assessment, while Digit Insurance employs advanced chatbots for customer service. Despite the potential rewards, the industry must navigate risks related to data security and regulatory compliance.

• AI enhances efficiency and customer experiences in BFSI.

• Challenges include bias, security, and regulatory concerns.

Key AI Terms Mentioned in this Article

Generative AI

Generative AI refers to algorithms that can generate new content or data, enhancing customer interactions in insurance.

Machine Learning

Machine Learning involves algorithms that learn from data, used by InCred for assessing lending risks.

Chatbots

Chatbots are AI-driven tools that assist customers, evolving into intelligent assistants at Digit Insurance.

Companies Mentioned in this Article

InCred

InCred is a technology-driven NBFC that uses AI for risk assessment in lending.

Digit Insurance

Digit Insurance employs AI-driven chatbots to enhance customer service and streamline claims processing.

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