Accelerating time to insights by operationalizing machine learning in the enterprise

Accelerating time to insights by operationalizing machine learning in the enterprise

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As enterprises move beyond experimentation with a few machine learning use cases to large-scale ML deployments, there's a need for a standardized approach to the ML workflow.

In most enterprises, data science teams spend a lot of time building accurate models that address specific business problems. But these models do not deliver any business value until they are deployed into another software application that then uses the model to deliver desired business outcomes.

Learn more inside.

Vendor:
Hewlett Packard Enterprise
Posted:
May 7, 2021
Published:
Oct 29, 2020
Format:
Multimedia
Type:
Resource
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