SEEQ
SEEQ ANNOUNCES EXPANDED MICROSOFT AZURE MACHINE LEARNING SUPPORT New Seeq Azure Add-on feature enables rapid deployment of Azure Machine Learning algorithms to frontline plant employees.
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eeq 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 and innovations 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 customers include companies in the oil & gas, pharmaceutical, chemical, energy, mining, food and beverage, and other process industries. Investors in
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Seeq, which has raised over $100M to date, include Insight Ventures, Saudi Aramco Energy Ventures, Altira Group, Chevron Technology Ventures, and Cisco Investments. Seeq’s strategy for enabling machine learning innovations provides end users with access to algorithms from a variety of sources, including open source, third party and internal data science teams. 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 this week on GitHub. 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
