NVIDIA highlights the potential of GenAI and LLMs

NVIDIA’s Financial Services Industry Global VP, Malcolm deMayo, speaks about the ways in which Gen AI & LLMs are pioneering new tech in finserv

In attendance at Money20/20 USA, held in Las Vegas from October 22-25, FinTech Magazine caught up with Malcolm deMayo, Global VP for the Financial Services Industry at NVIDIA, about the role Generative AI and large language models (LLMs) are playing in pioneering a new technological revolution for financial services providers. 

For our full interview with deMayo, you can click on the video link above.

NVIDIA: At the forefront of Gen AI & LLMs

Speaking on the latest innovations at NVIDIA, deMayo says: “What we’ve done is build application frameworks that allow our customers to develop and customise their large language model, but also take these software development kits (SDKs) that we've built to fully optimise whatever LLM they want to use. We’ve also built ACE, our avatar cloud engine, allowing our clients.”

These technologies are helping drive significant efficiences at financial services companies today. 

deMayo continues: “So we've built the technology, we’re using large language models and we're using XG boost machine learning models. 

“We’ve created an ensemble of AI to help the payments firms very accurately predict based on the information they see in any transaction.

“Financial services customers can now see if a transaction is good or fraudulent. As such, we believe our platform is helping firms to take full advantage of Generative AI.” 

Want to see more from Money20/20 USA? Stay tuned to FinTech Magazine as we roll out more content from the event over the coming days. 

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For more insights from FinTech Magazine, you can see our latest edition of FinTech Magazine here, or you can follow us on LinkedIn and Twitter.

You may also be interested in our sister site, InsurTech Digital, which you can also follow on LinkedIn and Twitter.

Please also take a look at our upcoming virtual event, FinTech LIVE London, coming on 8-9 November 2023.

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