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Scaling AI: Platform best practices
While the details will vary, there are 4 common principles that help companies to successfully deploy AI at scale.
At Capital One, we have developed a robust platform control plane with Kubernetes as the foundation, which scales to our large fleet of compute clusters on AWS, that are used by thousands of active AI/ML users across the company. These empower our associates to find the reusable libraries, workflows and user-contributed code they need to develop AI models and apps with confidence knowing that the artifacts they are building on enterprise platforms are well-managed under the hood. An effective AI platform team must be multidisciplinary and diverse, inclusive of data scientists, engineers, designers, product managers, cyber and model risk experts and more.
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