GenAI revolution in banking: How financial leaders are gaining the edge
KV Prasad Jun 13, 2022, 06:35 AM IST (Published)
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Summary
Amidst this backdrop of AI-driven transformation, CNBC-TV18, in association with IBM, introduces “The AI Dialogues,” a series poised to delve into the heart of how AI and Generative AI is reshaping business landscapes across the board through in-depth conversations with the industry’s finest minds.
AI is ubiquitous in today’s rapidly evolving business landscape. AI-powered tools and applications have become a cornerstone across various industries, especially within BFSI. AI in these sectors goes beyond automation and efficiency–it is revolutionising customer experiences, enhancing decision-making processes, and paving the way for innovative financial products and services.
According to a report by the Reserve Bank of India (RBI), a staggering 78.8% of banks have integrated AI chatbots into their customer service operations. Moreover, the Economist revealed that 77% of bankers believe that leveraging AI is the key to gaining a competitive edge in the industry.
Amidst this backdrop of AI-driven transformation, CNBC-TV18, in association with IBM, introduces “The AI Dialogues,” a series poised to delve into the heart of how AI and Generative AI is reshaping business landscapes across the board through in-depth conversations with the industry’s finest minds.
In this first round of conversations, AI Dialogues brings CNBC-TV18’s Latha Venkatesh together with Mahesh Ramamoorthy, CIO, Yes Bank; Ramesh Lakshminarayanan, CIO, HDFC Bank; VV Balaji, CTO, ICICI Bank and Rishi Aurora, Managing Partner, IBM Consulting India & South Asia to uncover insights and strategies that harness the power of cutting-edge GenAI for a resilient and forward-looking financial landscape.
AI vs Generative AI, or AI Plus Generative AI?
Ramesh Lakshminarayanan set the stage by explaining the difference between ‘classical AI’ and Generative AI in layman’s terms. “The easiest analogy is to think of the left brain as a classical AI and the right brain as Generative AI.
The left is analytically driven – you can predict, calculate, do probabilities, structures, and things which are more analytical in nature. On the right, you can create: you can write, you can narrate, you can converse.”
He also listed the various use cases in use in Banking already: fraud monitoring, risk management, and credit monitoring. VV Balaji also pointed out that banks have been using classical AI in non-core functions like application processing, voice to text, and even in bringing greater efficiencies to time-intensive processes like KYC checking.
According to VV Balaji, the advent of Generative AI doesn’t sound the death knell for classical AI tools. Rather, it is the next step in its evolution allowing AI tools that combine classical AI and generative AI capabilities to serve an expanded set of use cases. Mahesh Ramamoorthy built on Balaji’s argument,
“In old chatbots, you needed to keep adding queries and responses. With Generative AI you can upload all your documents, and let it read through and make much more intelligent conversations. So classical AI plus Generative AI creates intelligence, and that intelligence is what creates enhanced customer experiences.”
The Adoption Gap
Rishi Aurora quoted from one of the IBM Institute for Business Value studies. “86% of execs believe that they are already in a stage of putting AI or Gen AI into production, but if I drill down only 8% of organisations are taking a structured approach to adoption.”
He drew attention to the challenges that lie in scaling these technologies from proof of concept, with AI governance being one of the key areas of focus: how data is controlled and owned, and who owns the Intellectual property (IP) created.
Ramesh chimed in with a key hesitation around chatbot adoption: their tendency to hallucinate, which often stems from data biases and the large, public datasets these public AIs are trained on.
“One key factor driving adoption is the need to create an infrastructure that can support importing an AI model, tuning it, creating validations, bias corrections and feature engineering. Another is that we need to create explainability: why did it give this particular answer and output? The third is the availability of skilled people who can do this.”
“We believe that there is a blueprint which is now emerging for successful scaling of AI.” Mentions Rishi. He then enumerated the key pillars that IBM employs to bring about this new era: Success in scaling generative AI initiatives relies on upholding ethical AI governance, establishing robust data infrastructure, fostering cross-functional collaboration, and maintaining the agility to adapt to evolving regulations.
The AI Alliance, founded with IBM & 57 other global companies, is an international community of leading technology developers, researchers, and adopters collaborating together to advance open, safe and responsible AI.
An Ocean of Data, An Ocean of Possibilities
Challenges aside, GenAI in banking opens up truly exciting possibilities. Banks are awash in data, and leveraging it opens up incredible possibilities. Ramesh talked about creating a ‘talking bank statement’ that lets users query their statements as needed.
Mahesh is excited about Digital Banking Units (DBUs) that will help create greater access for the unbanked, in ways that don’t do away with human contact, while also driving efficiencies.
Balaji is looking forward to the increased data transparency that AI can help bring, in addition to its ability to help customer service staff reduce misinformation by enabling new hires to hit the ground running.
Rishi also addressed the concerns about the impact of AI on jobs by pointing out that this is just another cycle where a shift in technology brings about a shift in skills that are in demand and out of demand. Just like the Excel sheet didn’t make anyone redundant, while also enabling increasingly complex calculations, new AI tools and applications are expected to only eliminate the grunt work and move people higher up the value chain.
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KV Prasad Journo follow politics, process in Parliament and US Congress. Former Congressional APSA-Fulbright Fellow