How can process automation benefit IoT?

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Aklima@41
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Joined: Sat Dec 21, 2024 3:11 am

How can process automation benefit IoT?

Post by Aklima@41 »

Chirp, chirp! That’s your water bottle telling your phone that you’re dangerously short of your hydration goals for the day. The little sensor that measures your water intake is just one of billions of sensors that make up the Internet of Things (IoT). From personal electronics to agriculture, innovators have inserted smart sensors in unlikely places, sending billions of devices racing down the information superhighway.

We're all aware of the latest and greatest: self-driving cars, smart cities, and eavesdropping porch cameras.

But for every motion-activated Ring video posted to Nextdoor, there are a million sensors buzzing under the radar. Your iPhone or Apple Watch has enough sensing tech to rival a mission to Mars: You’ll find sensors that power the depth perception that brightens portrait selfies and the local marketing email list ambient noise monitor that alerts you when a restaurant’s cacophony is getting out of hand. Smart sensors are sneaking into unusual corners, like your fitness water bottle and your puppy’s bowl. 500 billion IoT-connected devices by 2030 .

The data stream flows back to an application, dashboard, or corporate headquarters. The Internet of Things gives businesses unparalleled insight into product and user behavior.

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But managing and leveraging this new influx of data can be a daunting challenge for businesses. To master it, smart businesses are integrating IoT data into their process automation strategies. IoT serves as a new fuel to drive process efficiency, but only if it’s used intelligently.

Here are four ways process automation can benefit the Internet of Things.

1. Extract useful information from big data
By integrating detection flows with process automation, you don’t just find a sustainable home for big data; you can put it to work .

Telematics sensors measure a vehicle’s speed, location, and performance history. This information feeds into a central process automation dashboard, which informs workflow decisions. The data collected helps fleet managers plan predictive engine maintenance, optimize delivery routes, and identify drivers who are running a little too fast.
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