Why did BAM Energy Systems decide to use UbiOps?
BAM Energy Systems has decided to use UbiOps for their data-driven analytics. “We want to use UbiOps to further develop propositions for optimizing energy consumption for our clients in both the utility and residential market.
“BAM Energy Systems uses a large variety of IoT data from devices such as solar panels, heat pumps and temperature sensors to run analyses on and optimise buildings and systems. Our data team currently uses the BAM Building Analytics (BA) platform to collect, analyse and visualise data in one central place. Since the business is expanding and even more advanced models are being developed, the need arises for an additional environment to develop data science code in a simple, scalable and cost-effective manner.
BAM uses Microsoft Azure cloud and we run UbiOps on top of that. We chose to work with UbiOps because of its simplicity and speed, and because it can be integrated with the existing analytics platform. The results are provided to Building Analytics to be visualised together with other analyses.”
The team knows that setting up a data science serving and operations backend is time-consuming. Rather than spending hours per week on managing Docker instances, cloud infrastructure and Kubernetes, they prefer to spend their time on experimenting and developing models. With UbiOps, they can deploy immediately. The Azure serving and operations backend is created and made scalable and secure with UbiOps. APIs of the models are automatically created so they can make requests to it and bring the model live without having to worry about the IT.