Data is King;
however, gathering and analyzing data on the “edge” can make you feel like the Court Jester.
There are approximately 25 billion IoT (internet of Things) devices in use today, and every one of them creates data. Data is everywhere. IoT and smart devises are expanding into every facet of our lives, and the data they generate is extremely valuable.
Most, if not all enterprise companies generate huge IoT data. This data can help them operate more efficiently, more productively and safer, which translates into greater profitability. In most cases, companies do not utilize this data, and even if they wanted to, they don’t know how to capture and analyze the data to drive profitability.
All the data is right there…these companies are generating this data 24/7 from IoT and smart devices for factories, appliances, cameras, robotics, cars, apps… but, typically, it is just dropping on the floor. This data is massive, and if used properly, it can be the most valuable resource a company has to drive profits.
But how do these companies convert data into profits?
Until now, hardware providers have said, ”here, load whatever you want”, software providers have said, “here, load it on whatever you want”, and professional services providers, have said, “give me what you have, and let me figure it out”.
Although this can be a finger-pointing logistical headache, this 3 prong approach does work in a centralized data room environment, but only because there are skilled professionals on location to install, maintain and upgrade the platform.
But what about the decentralized environments, known as the “edge”:
- the thousands of fast food restaurant franchises scattered throughout the world
- the oil rigs with thousands of sensors in the middle of the sea
- the thousands of wind turbines popping up across the landscape
- the thousands of hotel chain flags around the world
- the massive smart factory with thousands of sensors and robotics
- the security cameras located in thousands of remote locations
…and these are just a few examples.
All of these examples and countless others have the same pain points in common:
- they create massive amounts of valuable data that can predict and promote efficiency, productivity and safety, which translates into profitability, but how is it captured?
- they are a logistical nightmare; how do you support an infrastructure to install, maintain and update thousands of locations???
- it is not economically feasible to utilize all the valuable data. The cost of the hardware and software, plus the installation, maintenance and upgrades, then the cloud compute and storage cost, as well as, latency, security restrictions and capacity constraints make it a nightmare to utilize one of the most valuable commodities a company has today, DATA.
So, how do these companies convert data on the edge into profits?
Simple: the answer is a completely new approach to big data on the edge, known as Hivecell.
Hivecell is the first complete solution for edge computing that is both economically and logistically feasible.
Hivecell makes it possible for anyone or anything to capture and analyze data almost anywhere.
How? Simplicity
Check out these 1 minute videos to see Hivecell is action, because if a picture is worth a thousand words, then a video is worth a million.
Installing Hivecell:
Replacing/Removing Hivecell:
Software Provisioning Hivecell:
