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Transforming Financial Services Through AI: Prem Natarajan’s Vision at Capital One
Manage episode 456405469 series 2943650
Fraud is constantly evolving, but leveraging data accelerates understanding and adaptation to changes in the environment. In this episode of Technovation, Peter High interviews Prem Natarajan, EVP, Chief Scientist and Head of Enterprise AI at Capital One. Prem delves into how Capital One is leveraging AI to revolutionize financial services, with applications ranging from fraud detection to customer service enhancements. Discover how the company’s vibrant tech culture and partnerships with academia fuel innovation, and learn why Prem believes diverse perspectives are critical in shaping the future of AI.
Highlights include:
- AI-Powered Fraud Prevention: How real-time data analytics and machine learning protect customers.
- Generative AI Applications: Enabling developers and call center agents with Gen AI tools.
- Responsible AI Partnerships: Multi-year collaborations with universities like Columbia and USC to explore ethical AI use cases.
- Innovation Culture: How events like SECON and Data Week foster tech collaboration and growth.
- Diversity in AI Development: The importance of diverse perspectives in AI lifecycle stage
312 jaksoa
Transforming Financial Services Through AI: Prem Natarajan’s Vision at Capital One
Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)
Manage episode 456405469 series 2943650
Fraud is constantly evolving, but leveraging data accelerates understanding and adaptation to changes in the environment. In this episode of Technovation, Peter High interviews Prem Natarajan, EVP, Chief Scientist and Head of Enterprise AI at Capital One. Prem delves into how Capital One is leveraging AI to revolutionize financial services, with applications ranging from fraud detection to customer service enhancements. Discover how the company’s vibrant tech culture and partnerships with academia fuel innovation, and learn why Prem believes diverse perspectives are critical in shaping the future of AI.
Highlights include:
- AI-Powered Fraud Prevention: How real-time data analytics and machine learning protect customers.
- Generative AI Applications: Enabling developers and call center agents with Gen AI tools.
- Responsible AI Partnerships: Multi-year collaborations with universities like Columbia and USC to explore ethical AI use cases.
- Innovation Culture: How events like SECON and Data Week foster tech collaboration and growth.
- Diversity in AI Development: The importance of diverse perspectives in AI lifecycle stage
312 jaksoa
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