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Home » How AI will be used and regulated in financial services
AI in Finance

How AI will be used and regulated in financial services

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We all know that AI adoption will increase significantly in 2025 and that compliance is a major concern, but exactly how it will be used is a little harder to predict.

No one can know for sure, but we’ve rounded up some industry experts who know a thing or two about this technology.

We have already covered a number of fintech and financial services predictions for 2025 in our exceptional predictions coin which was released recently. Thoughts on AI included:

“AI is going to get boring (and that’s a good thing)”

“We will see more financial services institutions realize the revenue-generating benefits of AI, beyond just increasing productivity.”

“2025 will be a year of tempered optimism as we begin to see the cracks in the “magic” promised by the great linguistic models. »

But there is more.

We had the chance to connect with the Chief Scientist, CEO and VP of Regulatory of ThetaRaywhich gave us some other predictions to boot.

ThetaRay is a provider of fraud detection and anti-money laundering software, using AI to make this entire process more effective and efficient. For them, AI presents real, positive solutions to some of the key challenges facing the financial sector, but it also means they know how to resist scrutiny and comply with regulations.

Here our three experts present their best predictions on AI, compliance and regulation.

Smaller, better, faster and smarter AI

David Segev, Chief Scientist at ThetaRay, on AI

  1. “AI will become smarter at understanding the world. Advanced models will combine more diverse types of data – such as text, images, audio and digital data – to discover connections, improve overall understanding and generate smarter, more relevant and accurate insights.
  2. “We will see AI systems capable of creating content, evaluating its relevance, critiquing, self-correcting and improving without human intervention.”
  3. “Smaller and faster generative AI models will emerge, providing more accurate results with fewer errors. »
  4. “AI is evolving to become more autonomous and adaptive, and able to respond to changes with little or no human intervention. »

Strategic compliance is the way forward

CEO, ThetaRay, Peter Reynolds on Compliance.

  1. “Compliance officers will move from being gatekeepers to playing a strategic role in driving business growth and innovation.”
  2. “AI in financial crime compliance will evolve into intelligent systems that understand data in context, providing more accurate results and smarter decision-making. »
  3. “CEOs will recognize cost-effective, regulator-approved AI-based compliance as a critical differentiator in the marketplace. »
  4. “Better risk management and tailored strategies will enable businesses to build deeper, more trusting relationships with their customers. »

Regulating the widespread adoption of AI

Vice President of Regulatory Affairs, ThetaRay, Yaron Hazan on AI for Regulation

  1. “Regulators will no longer question whether financial institutions are using machine learning, but will focus on how they leverage it for more proactive, data-driven compliance management.”
  2. “Law enforcement will find greater value in AI-powered reporting as it will provide richer and more relevant data, improving their ability to detect and respond to financial crime more effectively. »
  3. “AI-powered reporting will improve the timeliness and accuracy of Suspicious Activity Reports (SARs), enabling financial institutions to meet regulatory deadlines and reduce the risk of non-compliance or sanctions. »
  4. “Machine learning will become a key compliance tool as financial institutions increasingly leverage AI to drive more accurate, efficient and effective compliance processes. »

That’s all the predictions we have for now. Make sure to stay tuned FF Newsto find out how much value they get for their money!

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