New SaaS Solutions
The Stardog knowledge graph is the foundation of new products driving ongoing business value
Improved Building Efficiency
Inferencing engine identifies new energy- and money-saving opportunities, at scale
Improved Occupant Experience
Knowledge graph derived insights lead to safer, more comfortable buildings and happier Schneider Electric customers
Schneider Electric, the leader in digital transformation of energy management and automation, is partnering with Stardog to create future-ready buildings that are sustainable, resilient, hyper-efficient, and people-centric.
The Challenge
IoT technology has made it possible to capture and make machine-understandable real-world environmental data. Still, when this data is siloed in discrete applications or databases, building managers miss the interdependencies that could genuinely transform how their buildings operate. Buildings are a complex network of interactions between humans and the building — heating and cooling systems that control comfort levels, sensor devices that track whether a space is being used or not, and much more.
Schneider Electric recognized that they were not taking full advantage of the opportunities that the data could provide for increased energy efficiency and occupant comfort because they could not analyze all of these data points together. While it was possible to integrate data for individual buildings, the process did not scale well, and any insights were limited to that building.
In addition, regulations and physical limitations often made it difficult to move data from multiple buildings to a centralized location for analysis, making it difficult or impossible to create a fully inclusive view.