Expaneed Microsoft Azure machine learning support
Summary
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 and gas, pharmaceutical, chemical, energy, mining, food and beverage, and other process industries. 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. As the models yield results, Seeq empowers users to scale them across the organisation to improve asset reliability, production monitoring, optimisation, and sustainability. Seeq’s open source gallery also includes algorithms and workflows for correlation and clustering analytics, which users can modify and improve based on their own needs.
