Case Study: Genscape boosts energy market forecasting and transparency with Microsoft Azure Machine Learning

Fueling the energy market with fast, predictive, cloud-based intelligence

Genscape, a provider of real-time energy market intelligence, faced challenges scaling its data processing and forecasting capabilities due to its disparate, on-premises IT infrastructure. The company needed a unified platform to handle massive increases in data from its global sensor network and to provide faster, more complex analytics for its customers. To achieve its ambitious growth plans, Genscape partnered with Microsoft Corporation and adopted the Microsoft Azure cloud platform, including Azure Machine Learning.

The solution implemented by Microsoft involved migrating Genscape's operations to Azure services such as Azure App Service, Azure HDInsight, and Azure Machine Learning. This provided a consolidated data repository and powerful compute resources that exponentially accelerated the development and deployment of forecasting models. As a result, Genscape significantly improved the speed, granularity, and accuracy of its reports, enhanced its ability to offer confidential analytical sandboxes for customers, and solidified its market-leading reputation for transparency. Microsoft's platform enabled Genscape to build new products almost as fast as it could conceive them.

Genscape

Albert Hofeldt

Managing Director, Platform Technology