How can we make California's water system even 1% more efficient to save billions of gallons of water? Prevent a drilling rig from spilling oil into a coastal wildlife ecosystem? Increase uptime of windmill generators that power hospitals?
The answer is in predictive analytics.
At Element, we’re dedicated to helping industries that power the world and daily lives. We use predictive analytics to solve data problems with significant real-world impact.
Today’s industrial data is unorganized and inconsistent, making it hard to compare data across generators, for example. As a result, industrial organizations must spend time wrangling unruly data and are limited to using it reactively to determine what happened and why.
Data needs to work harder for people and proactively provide insight into what will happen in the future. To enable this, our machine learning technology standardizes and contextualizes data into a form that data scientists can use. We then use this data to create predictions, which help industrial companies prevent issues before they occur and discover new ways to increase resource efficiency and value.
We work with customers in the Power Generation, Manufacturing, Transmission Distribution, Oil and Gas, Mining, Utilities, Chemicals, and Facilities sectors – companies that represent over one third of the global economy.
We’re looking for inquisitive problem solvers to join our growing engineering and data science team in San Francisco. If you enjoy the idea of turning numbers into real-world impact, get in touch with us.