AI does not facilitate financial crime, it helps to fight it.

Why and where do AI models, SLMs, synthetic data and recommendation engines work as angels in areas when the devil is always in the details?

- Pratima H

Deepak Chandani is Chief Data Officer, Angel One Limited, which claims to be the largest listed retail stock broking house in India, in terms of active clients on NSE. As a technology-led financial services company providing broking and advisory services, margin funding and distribution of third-party financial products to its clients, this company has made some interesting strides in investing in technology for business growth. It has been tapping Artificial Intelligence, Machine Learning and Data Science and has also built digital properties like Angel One Mobile App, 'ARQ Prime' a rule-based recommendation engine, 'SmartAPI' a free-to-integrate API platform and 'SmartStore' a marketplace for fintech products, learning platform and social forums for nearly 23 million clients. Let's ask Chandani how much risk and returns do these big and bold bets on technology translate into especially when we think of safety, high propensity of commoditisation and data issues.

What's different about Angel One some years back and now- especially with the enhanced role of technology in what you do and how you do it?

Angel One transitioned from a traditional stockbroking firm to a tech-driven fintech platform in 2019, when the company undertook a significant digital transformation. Previously, retail investors were required to visit physical offices for transactions and paperwork. However, Angel One operates as a fintech super app today, providing seamless, automated, and personalised services to users through its digital platform. This shift has made trading and investing easier and faster; and expanded the company's reach to a broader, younger, tech-savvy audience.

Any specific examples?