Seeq Corporation releases R52 software with new features to support the use of machine learning innovation in process manufacturing organizations. These features reportedly enable organizations to deploy their own or third-party machine learning algorithms into the advanced analytics applications used by front line process engineers and subject matter experts, thus scaling the efforts of a single data scientist to many front-line OT employees.
New Seeq capabilities include add-on tools, display panes and user-defined functions, each of which extend Seeq’s predictive, diagnostic, and descriptive analytics. The result is faster development and deployment of easy-to-use algorithms and visualizations for process engineers. With R52, end users will also be able to schedule Seeq Data Lab notebooks to run in the background, fulfilling a top customer request.
As a compliment to the new extensibility features, Seeq data scientists are working with customers to develop and deploy machine learning algorithms tailored to the industrial process domain. Current areas of focus include automatically detecting performance changes in monitored assets, identifying causal relationships among process variables and improved diagnostics by identifying and labeling patterns within a data set. For example, a super-major oil & gas company is using Seeq extensibility features to enable easy access by process engineers to a neural-network algorithm created by their data science team, helping reduce greenhouse gas emissions.
