Case Studies
Automate Asset Inspection
Mosaic designed and deployed custom computer vision models to automate asset recognition & inform inspection decisions.
Data science and decision support are nothing new to the energy industry. Many industry giants have long relied on large quantities of data to make decisions. Oil and gas producers now capture even more detailed data in real time at lower costs and from previously inaccessible areas, using it to improve oilfield and plant performance. Utility providers are able to mine data to improve the customer experience, increase operational efficiencies, and maximize revenues.
Mosaic provides expert energy AI consulting to all sectors of the energy world. Our data scientists have experience working for utilities and oil companies, but they also bring to bear techniques and expertise from different verticals, truly designing and deploying innovative, yet appropriate solutions.
Mosaic designed and deployed custom computer vision models to automate asset recognition & inform inspection decisions.
Mosaic designed and deployed a custom machine learning model to help this retail energy company predict customer churn and inform a geographic growth strategy.
Executives thought they could drive even more gasoline sales through further discounting to their members. They needed to measure if dropping the price per gallon drove more sales volume, validating their beliefs. Instead of relying on ‘tribal’ knowledge.
Working in conjunction with subject matter experts, data scientists can swiftly apply statistical tools and uncover emerging trends. This is extremely valuable for companies trying to operate in a disruption. Not only will executives have an accurate representation of their present situation, but new products & services can be devised from these insights.
Global external shocks are going to continue to happen, that is a fact of operating a business in today’s environment. As companies embrace data science in their decision-making processes, they are better positioned to deal with these disruptions, allowing them to manage a risk-optimized supply chain.
Designing and deploying computer vision is a powerful technology that humans can employ to improve their decision making. The only limits to these technologies lie within our ability to think of problems for them to solve.
Mosaic writes an in-depth view on the synergies between design thinking & data science. We also examine how these two disciplines can be used together.
Unsupervised learning approaches are very powerful when applied to customer segmentation.
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.
We designed and delivered a custom, extensive data science assessment to help this energy firm modernize.