Though edge computing already enables data to be processed on or near the devices through which it is generated, these techniques are currently not advanced enough to process the massive amounts of data generated by medical equipment, industrial robots and other complex, AI-powered devices.
At HPE, however, a team led by Eng Lim Goh, PhD, vice president and CTO of the high-performance computing and AI division, is integrating blockchain technology to allow “swarms” of connected devices learn directly from each other, rather than sharing their data to a common cloud. For example, a blockchain could collect findings from a group of internet-connected X-ray machines and assign one machine to analyze the data and send its findings back to the entire swarm, each of which would then update their machine learning algorithms based on those results.
“From my vantage point, these new technologies are allowing us to extract more insights from data and deliver more value for customers,” HPE CEO Antonio Neri told WSJ, noting that this process of integrating AI into edge computing provides data analysis in real time and thus helps companies deliver services faster.
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