ML Core and Predictive Modeling

Overview

We make it easier for our clients to build predictive models. ML Core simplifies the process with AutoML, delivering quick and accurate real-time data predictions through an intuitive interface.

Challenge

Organizations often face hurdles when attempting to apply machine learning to theirindustrial datasets:

• Data Fragmentation: Data from different sources lack structure, making ML model training and deployment inefficient.
• Limited Domain Alignment: Generic ML models fail to capture the unique behavior of industrial systems.
• Delayed Decision-Making: Without timely, predictive insights, operators react to failures rather than prevent them.

Solution

• Template-Driven Contextualization: we developed templates that streamline asset analytics, ensuring consistency, accuracy, and ease of use across all systems.

• Seamless Integration: Models are embedded directly into platforms like Seeq and AVEVA PI for real-time monitoring and prediction.

Key Benefits

To name a few of the many benefits of using ML Core are:

• Proactive Operations: Predictive alerts allow for early interventions and minimized unplanned downtime.
• Custom Model Design: Each model is tuned to the plant’s unique characteristics and historical data patterns.
• Real-Time Results: Integrated dashboards provide immediate visibility into model outputs, enhancing operator decision-making.