MLOps and ModelOps: What’s the Difference and Why It Matters
These two terms are often used interchangeably. However, there are key distinctions between the functionality and features each provide, and the AI value and scalability at your organization depend on them.
ModelOps vs MLOps: What’s the Difference and Why Should You Care
Jim Olsen, CTO at ModelOp, discusses and shows how ModelOps, the discipline of managing all types of models and MLOps, managing only machine learning models, are different in model operational requirements.
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