Why Does a Bank Need a Chief Scientist?
Capital One
Google/DeepMind
NVIDIA
DeepMind
IBM
Microsoft
Intel Corporation
Samsung
Capital One's Chief Scientist Prem Natarajan explains that the bank views AI as a scientific discipline, not just a technology to deploy. The bank's cloud-first infrastructure, focus on customer problems, and research into agentic AI and domain-specific reasoning enable it to solve complex challenges like fraud detection and personalized financial services.
Capital One's Chief Scientist, Prem Natarajan, a former Amazon Alexa AI leader, argues that AI advances are shifting from big tech platforms to industry verticals like finance. The bank treats AI as a scientific discipline, building a research organization to solve real-world customer problems. Its cloud-first infrastructure supports large-scale experimentation. Capital One launched a fully agentic AI car buying tool and is researching multi-agentic reasoning systems, tokenization challenges, and partnerships with universities. Evident AI ranked Capital One as the leading bank in AI talent for three consecutive years, and IFI Insights recognized it as the only financial institution among top U.S. patent leaders in agentic and generative AI in 2025.
- Сокращения
- API = Application Programming Interface — интерфейс программирования приложений
- NSF = National Science Foundation — Национальный научный фонд
Source: IEEE Spectrum AI —
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