We’ve written before about the benefits of secure data collaboration, including increased profitability and innovation. We’ve also discussed the challenges and security vulnerabilities around data sharing. The task of safe data collection becomes even more difficult when you take into account the projected number of Internet of Things (IoT) devices expected to be installed by 2025.
Each stop along the data’s journey can be verified and authenticated via a network of safe points. In other words, the data is secured through the entire transmission process, By using trusted distributed computing, companies can rely on the authenticity of the data they are receiving and prevent system penetration by compromised devices or bad actors.
This particular trusted collaboration involved one of the world’s largest distribution system operators (DSOs) and one of the world’s largest automakers, including Electric Vehicles (EVs). The DSO and the automotive OEM saw the need to work closely together to plan future EV charging network deployments.
To identify clusters of high or low demand for EV charging, they would have visualize a great deal of location information. They would also have to analyze and visualize information about the vehicles themselves, such as charging status. Furthermore, they would have to overlay and blend this information with existing grid and city infrastructure data sources.
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