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Revolut's AI Scaling Strategy Talk Now Live

@nathanbenaich· June 25, 2026 View original

▶ The 2-minute explainer

Summary

A talk from RAAIS 2026 featuring Nicolay Donets, Head of AI at Revolut, discussing how Revolut implements AI at scale, is now available on YouTube. This offers insights into large-scale AI operations in a financial technology context.

The first presentation from the RAAIS 2026 conference has been released and is now accessible on YouTube. This talk features Nicolay Donets, who leads the artificial intelligence division at Revolut, a prominent financial technology company. Donets' presentation delves into the strategies and methodologies Revolut employs to deploy and manage AI technologies effectively at a large scale. This offers valuable insights for professionals interested in the practical challenges and solutions associated with operationalizing AI within a high-growth, data-intensive environment.

Why it matters

Professionals can gain practical insights into scaling AI operations from a leading fintech company, which is crucial for implementing robust AI strategies in their own organizations.

How to implement this in your domain

  1. 1Watch the RAAIS 2026 talk to understand Revolut's AI scaling approach.
  2. 2Analyze Revolut's strategies for data management and model deployment.
  3. 3Identify best practices for integrating AI into existing business processes.
  4. 4Apply lessons learned to optimize your own organization's AI infrastructure.

Who benefits

FinTechBFSIAI EngineeringData Science

Key takeaways

  • Revolut's AI head shares insights on scaling AI.
  • The talk covers practical aspects of large-scale AI deployment.
  • Fintech companies offer valuable lessons in operationalizing AI.

Original post by @nathanbenaich

"our first talk from @raais 2026 is live! how @revolut runs ai at scale with nicolay donets (@nordic_40), head of ai. head over to our youtube channel to watch! @raais @Revolut @Nordic_40 @raais @Revolut @Nordic_40"

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Revolut's AI Scaling Strategy Talk Now Live

Primary sources

Originally posted by @nathanbenaich on X · view source

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