Artificial Inteligence Fintech Innovation Technology 
CIO
JULY 20, 2023
Customer experience and security But as in most industries, customer expectations and security challenges continue to grow along with technological advances. Banks continue investing in technologies that make the customer experience seamless, including mobile apps and peer-to-peer payments.
CIO
SEPTEMBER 7, 2023
The speed at which artificial intelligence (AI)—and particularly generative AI (GenAI)—is upending everyday life and entire industries is staggering. AI threats to fintech companies When I think about possible AI threats, top of mind to me is how AI can be weaponized: Threats to identity. Exploiting technology vulnerabilities.
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CIO
APRIL 11, 2023
The financial services sector is undergoing rapid change as fintechs develop convenient, consumer-focused services that were once the province of traditional banks. Many established financial institutions have very good core business capabilities, but their technology platforms tend to be archaic and rigid.
TechCrunch
AUGUST 13, 2023
In this week’s edition of The Interchange, we touch on the resilience of BaaS in a sometimes messy fintech space, earnings highlights, and much more. We are particularly excited this year because we have our very own Fintech Stage ! If you want to receive this in your inbox every Sunday, sign up here. This is a first.
CIO
AUGUST 28, 2022
Banks are no longer the key players in the market, with fintech companies, digital-first start-ups, and tech giants delivering their own brand of financial services. At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models.
CIO
SEPTEMBER 2, 2022
Banks are no longer the key players in the market, with fintech companies, digital-first start-ups, and tech giants delivering their own brand of financial services. At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models.
AWS Machine Learning - AI
MARCH 28, 2024
Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains.
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