In a recent article, Control learned how Seeq has integrated generative AI tools to streamline tasks in industrial analytics.
Key tools like the Data Lab Agent, Formula Agent and Actions Agent are designed to simplify coding, formula generation and basic AI tasks using natural language inputs. This makes it easier for engineers to write and debug Python code, create formulas and automate routine tasks, speeding up workflows significantly.
The AI assistants also ensure that subject matter experts (SMEs) remain central in decision-making, particularly when performing complex root cause analyses or anomaly detection. This emphasis on collaboration helps engineers and teams work more efficiently across different industrial environments, especially in traditionally siloed sectors like refineries.
Another appealing aspect for automation engineers is Seeq’s application of these AI tools to enhance data management and decision-making. For instance, Seeq Workbench combined with AI Assistant can clean sensor data, identify anomalies and automate signal conditioning, which are critical tasks in process control and monitoring.
To learn more, read the full article from Control, an Automation World partner publication.
