Building an AI-Ready Data Ecosystem at Capital One

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Building an AI-Ready Data Ecosystem at Capital One

ORLANDO – For Amy Leander, chief data officer at Capital One, building a strong data foundation is the best way to ensure the success of AI systems.

Given that the technology is still young, Leander has found that employees who are creative and agile are in the best position to help. Vishal Bank Holding Company Use the flood of new AI tools.

“I’m thinking a lot about people who have a lot of curiosity and agility to learn because things are changing so rapidly right now,” Leander said in the latest podcast episode. targeting AI, which was recorded Onsite at the Gartner Data & Analytics Summit. “Hiring people who have expertise with particular data or systems from the past is helpful, but it is inadequate for what we need in the future.”

“That said, there’s no one around who has years of experience Agentic Coding AssistantBecause they’ve just come on the scene,” she continued. “So, what we’ve really focused on is how do we get people who are really curious, really great problem solvers, collaborative and work well with people and understand what our businesses really need.”

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These are the workers who are building AI-ready data ecosystem Leander says this is important for the agentic and generic AI systems Capital One is implementing.

Lenander defines this type of data ecosystem as well-administered And managed, and, importantly, easy to use.

“AI is using data to do basically everything it does,” he said. “So, we need to trust our data, and that’s the foundation we’re building in the data ecosystem.”

“We’re also seeing that some of our new graduates… have the most AI-native experience at their universities. That’s really helpful for us. Overall, the trend I’m seeing with AI is that it will automate tasks that maybe aren’t the most fun parts of people’s jobs today. And that will allow employees to focus on the most creative problem-solving tasks, whether it’s analysis or coding, building data platforms, or curating data.”

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