Expanded Microsoft Azure Machine-Learning support
Last November, this company introduced additional integration support for Microsoft Azure machine learning (ML). This new add-on enables process manufacturing organizations to deploy ML models from Azure Machine Learning as add-ons in Seeq Workbench. The result is ML algorithms and innovations developed by information technology (IT) departments can be operationalized so frontline operation technology (OT) employees can enhance their decision-making and improve production, sustainability indicators and business outcomes (photo). With the new Azure ML integration, data science teams can develop models using Azure Machine Learning Studio and then publish them using the Seeq Azure Add-ons feature. Using Seeq Workbench, frontline employees with domain expertise can easily access these models, validate them by overlaying near real-time operational data with the model results, and provide feedback to the data science team. This enables an iterative set of interactions between IT and OT employees, accelerating time to insight for both groups, while creating the continuous improvement loop necessary to sustain the full lifecycle of machine learning operations. — Seeq Corp., Seattle, Wash.