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Azure Machine Learning publicly available

By Forsetlund, Henriette Næss 18. February 2015

eSmart Systems are proud to be mentioned in Microsofts latest post on their Machine Learning Blog.

Earlier today Microsoft announced the general availability of Azure Machine Learning. In this blog post they use eSmart Systems as an example of a company that apply Azure Machine Learning in interesting business scenarios.

"A traditional smart grid includes multiple data silos, including SCADA networks, building automation systems and substation meters. In this environment, it can be difficult to forecast consumption and prevent bottlenecks or outages. For a utility company, upgrading its entire infrastructure would be costly. Even when upgrades are made, e.g. new smart sensors or meters, data gets collected but is not readily accessible. eSmart Systems uses the Azure cloud platform to integrate and analyze usage data and create forecasts. Azure Machine Learning is the "brains" of the solution, running the data models for predictive analytics. The analytics are used to predict capacity problems and automatically control load in individual buildings", says the blog post.

Read the full blog post here.

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Forsetlund, Henriette Næss's photo

By: Forsetlund, Henriette Næss

Henriette Næss Forsetlund is Marketing and Communications Manager at eSmart Systems. She holds a M.Sc. Degree in Media, Communication and Information Technology from the Norwegian University for Science and Technology (NTNU) and the University of California, Berkeley. Henriette has formerly worked in Smart Innovation Norway and Borg Innovation with responsibilities related to internal and external communications

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eSmart Systems provides AI driven software solutions to the energy industry and service providers. Their cloud born platform is designed to handle and exploit IoT, Big Data and Analytics in real time. The company is based on more than 20 years of international experience in establishing and operating knowledge based, leading IT and energy related companies targeting global markets.


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