In this live event, co-hosted and supported by Emeritus, leading global EdTech, making world-class education accessible globally, represented by Marie Mize, Rudolf Falat, founder of the Voice of FinTech podcast, spoke live to Pahal Patangia, Head of Developer Relations, FinTech at Nvidia about the latest trends in leveraging AI in FinTech, explainable AI, metaverse and FinTech and Nvidia's activities, products, and services supporting FinTechs.

Here is what they discussed (transcript is also available where supported by your podcast app):

Pahal's background
Pahal's role at Nvidia
AI is crucial for the development of FinTech. So what's the role of Nvidia in leveraging AI in Financial Services – from hardware to software, and what's the strategic rationale of Nvidia's involvement in this space?
Many start-ups perhaps overuse the term AI when describing the technology behind their ventures. Do you agree? What is AI and what is not when it comes to FinTech use cases?
What would be the most promising use cases for AI in FinTech?
We've had AI winters in the past – would you say we are past potential AI winters and why?
AI is sometimes the subject of fierce debate regarding ethics and governance, and sometimes the models' results are below expectations. So what can go wrong with AI?
Governance and regulatory framework are often behind technology improvements. What do you think is needed now when it comes to AI governance?
What is explainable AI? (XAI) Why do we need one?
Can you mention some examples where you have already worked on XAI implementation?
Given Nvidia's history, where do you see the most significant opportunities for FinTech expanding into metaverse or crossing over with gaming?
Is metaverse a fad, or is it here to stay? How does it correspond with the future of work?
What new products or services are you rolling out for FinTechs interested in deploying AI quickly and efficiently as well as expanding into metaverse?
Where do you see the future of AI? Augmented intelligence or general intelligence?
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