What is MLOps?
MLOps, operations of the machine learning model lifecycle.
In the context of artificial intelligence
In the context of artificial intelligence, MLOps is evaluated alongside model quality, data quality, compliance with KVKK, and principles of explainability.
Scope and application
In addition to model performance, data quality, explainability, and regulatory compliance are also part of success.
Why is it important?
When addressed correctly, MLOps contributes to teams working with fewer errors and faster; it allows management to make decisions based on more solid data.
For more in-depth information, you can visit the AI-Powered Hospital Management page, and for related concepts, check the Digital Dictionary page.
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What is MLOps?
Operations of the machine learning model lifecycle.
How is MLOps used in AI-supported processes?
MLOps plays a role in transforming clinical and operational data into insights; it does not make decisions but supports the decisions of relevant teams.
Under which title is MLOps evaluated?
MLOps is addressed under the title of Artificial Intelligence in the context of health information systems and digital transformation.