Organizations that use Sarus outperform their peers at execution speed for machine learning and analytics while being more secure. Learn how.
Household energy consumption can be actionable for analysis without having to compromise on privacy
Building sustainable cities requires the design of data-heavy models especially when working on data from household smart meters. But smart meter data cannot be anonymized and building those models should not come at the cost of the citizen’s privacy.
The city installs a Sarus instance on their data warehouse where household smart meter data is stored. Anonymous access is then granted to researchers so that they build and test their energy efficiency models on the most precise data.
Researchers improved their energy models for existing buildings, which helps set efficient policies for new constructions and renovation targets, driving the city towards a more sustainable future. .
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