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#News(General) [ via IoTForIndiaGroup ]
The arrival of the General Data Protection Regulation (GDPR) in May 2018 is the most sweeping and comprehensive European legislation to address the issues of personal data protection and online privacy in more than 20 years. GDPR defines personal data broadly and aims to give consumers control over how their data is stored, transferred, and used by third-parties. According to the McDermott and Ponemon GDPR Survey Results, sixty percent of respondents said that GDPR has “significantly changed their organizations’ workflows for collecting, using, and protecting personal information.”
With so much of today’s personal data being collected and stored in cloud environments, rush to meet GDPR compliance has the potential to hasten the adoption of edge computing. According to MachNation, edge computing is a distributed technology and processing architecture that brings computational and analytics capabilities near the point of data generation. Edge computing enables certain processes to be decentralized and to occur in a more optimal physical location. This creates more secure, reliable, and scalable IoT deployments, while also offering new opportunities for IoT solutions to generate business value. Here are a few use-case examples where edge computing can help enterprises move towards GDPR compliance.
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