Whether from drone cameras or smart meters, field data is rich with opportunity for maintenance improvements. Utilities can monitor assets at scale by feeding cloud-based field data into machine learning algorithms.
Machine learning can analyze field data at scale to identify patterns and outliers, proactively indicating when assets are near failure or at risk of environmental damage. When historical environmental data is added, analytics tools can also predict how assets will respond to future events like fires, floods, storms, and earthquakes.
When outages occur, artificial intelligence can instantaneously reroute electricity, shortening the time customers are without power. Machine learning can also help prioritize incident response crews so that they handle outages more efficiently. With real-time data and intelligent predictions easily available, you can be proactive about asset management—before outages and/or damage occur. Replacing equipment, reducing nearby risks, or even temporarily turning off power can keep customers safe.
Use field asset insights to your advantage. We help you drive decision making by streamlining analytics, putting data in context, and more.
Forecast analytics to explore what’s possible with your assets and get up-to-the-minute information about how to prevent issues.
With clear data visualizations, you can gather and communicate data to field technicians and customers.
Let machine learning optimize your work. We excel in automation & use predictive analytics models to improve your operations.
With cloud solutions in place, your infrastructure can handle the needs of your team, no matter how far afield.
Analytics give you the power to understand your assets and adapt your operations at scale, accelerating your business and increasing your ROI. Predictive analytics uses the power of machine learning to analyze field data of all kinds and produce recommendations for incident prevention. When you can see what’s coming, you can do what’s necessary.