Search
Close this search box.

Banking Transformed: Rajesh Ganshani’s Vision of AI’s Impact

Rajesh Ganshani unveils the transformative potential of generative AI in reshaping the banking and capital markets landscape at MachineCon 2023

At the esteemed MachineCon 2023, Rajesh Ganshani, SVP and Global Head of Transformation Services for Banking & Capital Markets at Genpact, delved deep into the transformative potential of generative AI within the banking and capital markets sector. The event, orchestrated by AIM Research, was a melting pot of industry luminaries discussing the latest innovations and trends in data, technology, and analytics.

Rajesh commenced by shedding light on his pivotal role at Genpact, where he collaborates with CXOs of global banks, leveraging data, technology, and AI to drive transformation and enhance business outcomes. He emphasized the significance of combining these competencies to achieve tangible results.

Generative AI, according to Rajesh, is becoming increasingly relevant in the banking and capital markets domain. He identified four primary areas where generative AI can make a significant impact:

  1. Customer Engagement: Any touchpoint with a customer is ripe for disruption through generative AI. Enhancing these interactions can lead to improved customer experiences and outcomes.
  2. Risk Management: This includes fraud detection, system control leakages, and anti-money laundering measures. AI can play a crucial role in identifying and mitigating these risks more efficiently.
  3. Research: Generative AI can simplify the process of extracting investment strategies from vast amounts of research, aiding financial advisors in providing more accurate and timely advice to their clients.
  4. Technology and Product Development: The way products and platforms are developed can be revolutionized through generative AI, making them more adaptive and responsive to market needs.

Rajesh also provided practical use-case scenarios to illustrate the impact of generative AI. For instance, in wealth management, financial advisors typically sift through numerous research reports to advise clients on investment strategies. With generative AI, this process can be streamlined, allowing concise extraction of investment strategies from these reports, leading to more informed and timely advice.

Another example he cited was the loan application process. A customer’s journey, when applying for a loan, can be significantly enhanced using AI, ensuring a smoother experience and faster loan processing.

In conclusion, Rajesh Ganshani’s insights at MachineCon 2023 offer a comprehensive perspective on the evolving landscape of banking and capital markets in the age of generative AI. His expertise and forward-thinking approach underscore the importance of embracing AI-driven solutions to stay competitive and deliver superior value.

AIM Research

AIM Research

AIM Research is the world's leading media and analyst firm dedicated to advancements and innovations in Artificial Intelligence. Reach out to us at info@aimresearch.co

Meet 100 Most Influential AI Leaders in USA

26th July, 2024 | New York
at MachineCon 2024

Latest Edition

AIM Research Feb 2024 Edition

Subscribe to our Latest Insights

By clicking the “Continue” button, you are agreeing to the AIM Media Terms of Use and Privacy Policy.

Recognitions & Lists

Discover, Apply, and Contribute on Noteworthy Awards and Surveys from AIM

AIM Leaders Council

An invitation-only forum of senior executives in the Data Science and AI industry.

Best Firm Certification

“Gold standard” in identifying & recognizing great data science & Tech workplaces

Stay Current with our In-Depth Insights

Our Upcoming Events

Intimate leadership Gatherings for Groundbreaking Insights in Artificial Intelligence and Analytics.

Supercharge your top goals and objectives to reach new heights of success!

The AI100 Awards is a prestigious annual awards that recognizes and celebrates the achievements of individuals and organizations that have made significant advancements in the field of Analytics & AI in enterprises.