How to build scalable AI in 3 steps: Lessons from Capital One's ML team

"When it's time to actually go to production, and then keep that model up and running 24-7 in some mission-critical application like transaction fraud, that is the hardest part," says Abhijit Bose, head of Capital One's Center for Machine Learning and Enterprise ML Platforms,

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