According to Insider Intelligence's AI in Banking report [businessinsider.com], the aggregate potential cost savings for banks from AI applications is estimated at $447 billion by 2023. Most banks are aware of this huge potential cost saving but don’t know where they should start in order to avoid the common pitfalls
In this webinar, Nina Xing and Hwee Theng, customer-facing data scientists at DataRobot, will provide an overview of how financial markets are accelerating their AI adoption to tackle some of the biggest business challenges.
During this webinar, you will learn:
- How AI has helped many financial institutions automate and accelerate their AI journeys
- AI use cases on Straight-Through Processing (STP) and Anti-Money Laundering (AML)
- Common AI challenges and how to resolve them
Our speakers:
- Nina Xing, Data Scientist, DataRobot
- Hwee Theng Yeo, Data Scientist, DataRobot
- Iain Bell, Events Director, FinanceAsia
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