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Essential principles to produce and consume data for AI acceleration
VB Lab Insights This is a VB Lab Insights article presented by Capital One. AI offers transformative potential, but unlocking its value requires strong data management. AI builds on a solid data foundation that can iteratively improve, creating a flywheel effect between data and AI. This flywheel enables companies to build more customized, real-time solutions that unlock impact […]
A well-designed, self-service portal can play a key role here by allowing producers to interact seamlessly with systems across the ecosystem — such as storage, access controls, approvals, versioning and business catalogs. The key is to implement consistent mechanisms that ensure automation and scalability, enabling the business to reliably produce high-quality data that fuels AI innovation. By implementing the principles outlined above, they can do just that –building scalable and enforceable data management that will power rapid experimentation in AI and ultimately deliver long-term business value.
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