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A modeling melting pot fuels innovation and creativity. In order to achieve this, organizations should embrace different programming languages, tools, techniques, and run-time environments when developing and deploying models.

Imagine a company with hundreds, or even thousands of models, developed using different programming languages, and designed for different business problems and use cases. How can you effectively manage versioning, reproducibility, deployment, scalability, testing and governance?

SAS Model Management enables organizations to embed a Model Management strategy into their analytics lifecycle that allows users to register, test, deploy, monitor, and retrain analytical models, uniting Data Scientists, IT/DevOps and Business Analysts.

Download this eGuide from SAS to master the model lifecycle.

Vendor:
SAS Institute
Posted:
Dec 1, 2021
Published:
Nov 4, 2021
Format:
PDF
Type:
eGuide

This resource is no longer available.