In November 2024, L&T Finance (LTF) hosted a grand AI-themed event – RAISE ‘24 – bringing together a dynamic mix of regulatory leaders, unicorn start-ups and deep tech firms.

 

Hosted in Mumbai, the marquee event was for the banking, financial services, and insurance (BFSI) sector and centred around the theme ‘Re-Imagining Financial Services with AI’.

 

With as many as 1,400 in-person attendees and over 3,000 participants joining virtually, RAISE ‘24 literally created a buzz. CNBC-TV18 served as the media partner, broadening the reach and impact of the event.
 

Delivering a keynote address, L&T CMD S N Subrahmanyan, who also happens to be the Chairperson of LTF, spoke on the vision for 2047 and how AI can be leveraged to realise India’s Viksit Bharat aspirations.

 

Rajesh Bansal (CEO – Reserve Bank Innovation Hub) highlighted the importance of AI-driven financial inclusion and equitable digital infrastructure.

The event featured 52 guest speakers who led engaging panel discussions and enlightening masterclass sessions. Key topics explored included responsible credit risk assessment, real-time payment innovations, maximising customer engagement, and the impact of AI on UI/UX design.

 

During the event, LTF rolled out four key initiatives:

 

Partnership with Amazon Pay: The strategic fintech partnership is to make purchases more affordable for Amazon’s eligible customers and merchants. The collaboration will support LTF’s product diversification and improve credit access for consumers quickly and efficiently. It will foster financial inclusion and responsible lending in India’s growing digital economy.

 

Knowledgeable AI (KAI): AI-powered chatbot designed to streamline home loan application process. It offers 24x7 personalised assistance in English and Hindi, addressing queries about loan eligibility, documentation, and interest rates. KAI also provides guidance on EMI options and required documents, ensuring a seamless user experience.

 

Project Cyclops: An AI-driven next-gen digital credit engine for real-time credit risk assessment for two-wheeler and farm equipment finance.

Pearl Anniversary Challenge: Invited innovators to predict farmer incomes using diverse datasets like weather, soil quality, and market prices.