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Worm on the sensor: What happens when IoT data is bad?

Enterprises trying to use the internet of things already face a deluge of data and a dizzying array of ways to analyze it. But what happens if the information is wrong?

Bad data is common in IoT, and though it’s hard to get an estimate of how much information streaming in from connected devices can’t be used, a lot of people are thinking about the problem.

About 40 percent of all data from the edges of IoT networks is “spurious,” says Harel Kodesh, vice president of GE’s Predix software business and CTO of GE Digital. Much of that data isn’t wrong, just useless: Duplicate information that employees accidently upload twice, or repetitive messages that idle machines send automatically. 

In addition, building a new IoT platform on top of old industrial reporting systems can cause problems because the legacy tools format data in their own way, Kodesh said. “You’re not taking the real, elemental data, you’re taking some translation of that.”

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