Sachin Gupta, Panos Moutafis, and Matthew J. Schneider team-up to describe a high-level approach to employing edge computing to reduce risk and dependence on consumer data use. A good read for senior management teams.
Edge computing, in which data is processed locally on hardware instead of on the cloud, can help them do just that by implementing three critical design choices. The design choices begin with how to think about data collection and extend to the actual data processing. They are: 1) sufficiency, or a focus on only must-have data; 2) aggregation, or lumping data together to produce group insights; and 3) alteration, or making minor changes to the data to hide an individual’s identity while minimally impacting the accuracy of insights.
… But how does this tech actually work, and how can companies who don’t have Apple-sized resources deploy it?