Case Study: Elastacloud achieves faster time-to-market and smarter energy forecasting with Microsoft Azure Machine Learning

Data science consultancy transforms the future of UK energy—and its own business with Azure Machine Learning

Elastacloud, a London-based data science consultancy, wanted to use AI and machine learning to help UK energy providers forecast balancing fees and improve low-carbon energy production. To do this, the company turned to Microsoft Azure, specifically Azure Machine Learning, as part of its effort to build an AI-powered forecasting service.

Microsoft Azure helped Elastacloud build the BSUoS Forecast web service using Azure Machine Learning, Azure Functions, Azure Data Lake, Azure Kubernetes Service, Azure DevOps, and Azure SQL Database. The solution generates forecasts every 30 minutes, runs with no virtual machines to manage, and helped Elastacloud boost developer productivity and accelerate time-to-market by more than 40%, while also transforming the company from a consultancy into a solutions provider.

Elastacloud

Andy Cross

Chief Operating Officer