Traditional internal developer platforms (IDPs) have transformed how organizations manage code and infrastructure. By standardizing workflows through tools like CI/CD pipelines and Infrastructure as Code (IaC), these platforms have enabled rapid deployments, reduced manual errors, and improved developer experience. However, their focus has primarily been on operational efficiency, often treating data as an afterthought.
This omission becomes critical in today’s AI-driven landscape. While traditional IDPs excel at managing infrastructure, they fall short when it comes to the foundational elements required for scalable and compliant AI innovation:
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