STREAMLINE ANOMALY DETECTION WITH AI AND ML

Speed up anomaly detection with machine learning and artificial intelligence.

Discover how you can increase operational efficiency and reduce the risk of oil and gas facility downtime.

Equipment downtime is a primary source of deferred production in the oil & gas industry. With the help of machine learning, computer vision, IoT, and advanced analytics, oil & gas companies can implement predictive asset maintenance and detect anomalies before they happen.

There are two different methods to predict anomalies:

1. Apply computer vision technology
2. Act on real-time monitoring insights from IoT devices

SoftServe has solid experience in creating effective maintenance flows using both methods. They lead to an increase in production and reduced operating expenses. Download our one-pager to find out how you can accelerate anomaly detection with machine learning and artificial intelligence.