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When Not to Use Managed Azure ML

While Managed Azure ML is suitable for most traditional AI/ML projects, there are specific scenarios where it is not recommended:

Specialized security or subscription requirements​

  • Do not use Managed Azure ML if your project requires a non-standard subscription, such as OMNIA Classic.
  • These environments often involve in-house security account management or data sources with specific legal or compliance requirements that are incompatible with Aurora-based setups.

Existing applications or projects​

  • If you already have a fully developed application or a project that is in production, transitioning to Managed Azure ML may not be necessary or beneficial.
  • In such cases, consider continuing within your existing environment unless there is a clear reason to migrate.

Advanced or specialized AI use cases​

  • Managed Azure ML is not designed for Computer Vision, Generative AI, or other advanced/specialized AI applications.
  • For these scenarios, choose the appropriate track under the Advanced AI journey in our platform.