Seeq Corporation announced additional integration support for Microsoft Azure Machine Learning.

This new Seeq Azure add-on, announced at Microsoft Ignite 2021, an annual conference for developers and IT professionals hosted by Microsoft, enables process manufacturing organizations to deploy machine learning models from Azure Machine Learning as add-ons in Seeq Workbench.

The result is machine learning algorithms developed by IT departments can be operationalized so frontline OT employees can enhance their decision making and improve production, sustainability indicators, and business outcomes.

“Seeq and Azure Machine Learning are critical and complementary solutions for a successful machine learning model lifecycle,” said Megan Buntain, Director of Cloud Partnerships, Seeq. “By capitalizing on IT and OT users’ strengths, the Seeq Azure Add-on expands the Seeq experience and creates new opportunities for organizations to scale up model deployment and development.”

With the new Azure Machine Learning integration, data science teams can develop models using Azure Machine Learning Studio and then publish them using the Seeq Azure Add-ons feature, available on GitHub.