How can process automation benefit IoT?

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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 ambient noise monitor that alerts you when a restaurant’s cacophony is getting out of hand. Smart sensors sneak 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.

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.

A few home health wearables help caregivers and doctors monitor patients remotely. Healthcare professionals can gain new insights into how often a patient sits or stands, how many steps they take throughout the day, and whether they’ve fallen. The patient can also send a ping to have emergency services dispatched to their exact location. This wealth of data helps the medical and home care industry develop care plans and trigger messages that encourage healthier behaviors.

2. Make more thoughtful, research-based decisions
Decision-makers have access to more data than ever before and need creative ways to turn it into success. Artificial intelligence is disrupting analytics by extracting insights from unexpected pockets of information.

Natural Language Processing Natural Language pakistan mobile number Processing, the technology behind your everyday weather conversations with Alexa, lets you ask questions of your data. Instead of sifting through rows and columns, AI puts information front and center.

For example, a smart campus administrator could ask “which parking lots are fans trying to access 45 and 15 minutes before games start” to better plan staffing and crowd control.

AI-powered analytics help you make sense of IoT streams by uncovering complex information that traditional analytics miss. You can ask questions like:

How many miles do our trucks travel before needing an oil change?
Which salespeople spend the most time on the road but generate the least sales of product X?
What day of the week do super users typically upgrade to paid membership?
It’s no longer about collecting data—few companies lack it. It’s now about learning how to master your data before it gets out of control. Smart companies are moving beyond yesterday’s data-intensive strategies and looking at new ways to make sense of it all.