Seeq announces expanded Microsoft Azure Machine Learning support

<p><br/></p><p style="text-align: justify;">Seeq Corporation announced additional integration support for Microsoft Azure Machine Learning.</p><p><br/></p><p style="text-align: justify;">This new Seeq Azure add-on, announced at&nbsp;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.</p><p><br/></p><p style="text-align: justify;">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.</p><p><br/></p><p style="text-align: justify;">“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.”</p><p><br/></p><p style="text-align: justify;">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&nbsp;GitHub.</p>