Fishing to optimize production

Posted by Amy Thibault on Jan 15, 2019 12:55:00 PM

I’ve been an obsessed angler for years. I don’t need a special reason or day to go fishing either – I go any chance I get. Sunny 108-degree Texas days, Christmas day, or drizzly cool days, it isn’t about the day, temperature, or location – it’s simply about the experience.

There is something about the peacefulness of being on the lake, or a river that captures my senses, and instantly relaxes me, while at the same time ignites my creative side with a new sense unlimited possibilities. But it isn’t the excitement of actually catching a fish at all (since it’s not my favorite meal) – but it’s the experience that captivates my mind, warms my soul, and energizes my spirit.

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Gain control and information with predictive analytics through IIoT

Posted by Massimo Torri on May 7, 2018 12:30:00 PM

What if your wells or pipelines could call you up and tell you they were sick before they went down?

If you’ve ever gone to the doctor to get some medicine at the first sign of a fever—to try to shorten the illness—you understand what I mean.

Most of the time now, in the oil patch, the first we know of a problem is when the pump breaks down, the compressor slams on the brakes, a valve gives way or there’s some other catastrophic—and expensive—problem.

What if we could use Big Data to start detecting the lead-up to a problem and fix it before it became a shutdown or, in the case of a pipeline, a big leak? It could help our people work smarter by doing small jobs in time to reduce the major ones.

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Zedi monitoring opportunities grow tall in rich Nebraska soil

Posted by Massimo Torri on Mar 13, 2018 11:41:00 AM


In the summer of 2017 a team of valiant Zedities went to Nebraska with a proven oilfield data integration platform, to do a test. The trip turned out to be more than an exercise in technology: the fun of working in a hot corn field in August picking up some unwelcome critters along the way, like local ticks for example, was priceless! The test was not on oil, or gas.

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Zedi helps chicken farm pluck victory from defeat in conveyor belt jam

Posted by Rebecca Geddes on Nov 8, 2017 11:22:00 AM

The egg farm’s production was cracking up to the tune of tens of thousands of dollars per month in lost production. A constantly jamming conveyor belt was the problem. We offered a simple but hugely valuable solution.

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Zedi is using IIoT solution on...slushy drink machines!

Posted by Rebecca Geddes on Sep 21, 2017 12:00:00 PM

On a hot day when I want my favorite cold slushy drink—known in the industry as an FCB, or frozen carbonated beverage—I don’t want to be disappointed when I get to the store. My worst case scenario is to see an “Out of Order” sign when you’re ready to enjoy that smooth, ice-cold fizziness deliciousness. Or worse, when you push your cup against the lever and it splatters and spits at you because it’s out of syrup.

It’s bad news for retailers, too, because an FCB customer often doesn’t make another selection—they walk!

Now, thanks to us at Zedi, one retailer is saving money each month on their FCB machines because of what they know about product flow and something we call “mean time to failure.”

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IIoT to get all humans and machines on the same page

Posted by Amy Thibault on Aug 28, 2017 11:33:06 AM

What if we could help you know about production issues instantly—anywhere in the world? 
What if all pertinent personnel got that information in an easy-to-read dashboard at the same time? 

What if that same information system helped valves and pumps self-monitor so they required less oversight?

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The Grocery Store, IIoT, & Zedi Go

Posted by Jim Obenshain on Jun 21, 2017 12:53:43 PM

About three weeks ago, I was sitting in the parking lot of a grocery store on a conference call. 

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The Versatility of Zedi's IIoT Platform

Posted by James Freeman on Jun 15, 2017 11:00:00 AM

In previous Blog articles, I have highlighted how Zedi’s IIoT platform is built and what capabilities it has.  In February 2017, we announced that our platform had grown in scale to handle over 1.25 million sensors and 47 million daily readings.

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