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What is AI Data Governance Layer?

AI Data Governance Layer refers to the operating layer that applies rules, permissions, lineage, release control, and execution tracking to data used in AI workflows. It is less about storage administration and more about managing data as an execution-ready asset.

Cloud Computing
Cloud computing is the delivery of computing services—including servers, storage, databases, networking, and software—over the internet. It provides on-demand access to resources with scalability, flexibility, and cost efficiency. Cloud computing models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), enabling businesses to streamline IT operations and enhance innovation.
LLM Gateway
LLM Gateway refers to the control layer between enterprise data and external language models. It manages how prompts are routed, transformed, and delivered so organizations can use multiple models in a more controlled and consistent way.
Upsampling
Upsampling refers to increasing the resolution or quality of data, particularly in image processing and machine learning. It enhances model accuracy in tasks like super-resolution and data augmentation.

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