You Need ModelOps to Scale

Jun Wu, Towards Data Science – April 29, 2020

As companies, particularly large organizations, scale up their models as a part of building an enterprise-wide pipeline, there’s an increasing need to operationalize the model development process. Similar to DevOps, models need to be developed, integrated, deployed and monitored. Often, with Enterprise AI initiatives, there are a host of governance considerations such as data integrity, change management, regulatory concerns, etc..

You want to be able to connect your data science pipeline to the IT organization. You want your IT organization to maintain and upgrade your data science pipeline as needed.

In other words, you want your pipeline to be fully functional across your organization, in real-time, and in line with your industry’s regulation.

 

Read the Full Article

You might also enjoy

Off Grid CTO: Starlink in Action

Exciting news up here at the off grid cabin location, we now have actual real high speed internet! With Starlink service we have a true high speed connection, and it even uses less power than the Viasat installation did.

Get the Latest News in Your Inbox

Further Reading