What are some of the unique environments where data is generated at the edge?

Video surveillance, automation technologies, IoT sensors, mobile devices, and smart devices are all examples of unique environments where data is generated at the edge.

How has the growth of edge data been influenced by technology advances?

Technology advances such as faster processors, smaller devices, and faster memory have made it possible for companies to innovate new ways to solve business problems at the edge, which is driving the growth of edge data.

What are some examples of how companies are using edge data to solve business problems?

Companies are using edge data to improve operational efficiency, reduce costs, and make better decisions in real time. For example, auto dealerships can use edge data from video surveillance and sensors to improve customer service and identify potential problems with vehicles.

What are the challenges and opportunities associated with managing edge data?

Some of the challenges associated with managing edge data include security, scalability, and latency. However, the opportunities associated with edge data are significant, as it can help companies to improve their operations, reduce costs, and make better decisions.

Edge Computing: Growth Drivers

Name: Edge Computing: Growth Drivers
Uploaded: 2023-09-30T10:20:16-04:00
Duration: 2 min 18 s
Description: This clip with StorMagic's Bruce Kornfeld and DCIG's Todd Dorsey explains why compute at the edge has undergone so much massive growth with the buildout of IoT, IIoT, and the general distribution of applications at the edge.

Truth in IT

09/30/2023

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Dave Littman: In your research, you are seeing a lot of growth at the edge. And, you know, what do you see as the main drivers of that? I guess not only the growth of edge computing, but but the growth of the data itself as well. Todd Dorsey: Sure. Well, in many ways, the growth of data at the edge is the factor and reflects the growth of data everywhere. More devices, more applications producing more data, use of media files and larger file sizes. But of course, the edge has unique environments there. Video surveillance, for example, for security. And there's automation technologies and IoT and proliferation of sensors and the manufacturing and environmental situations. Mobile devices and smart devices and 5G networks, you know, as a result of mobile field forces and mobile field workforces. I think of a recent example when I was at the auto dealership. We had a AC leak in our vehicle, and it was wasn't clear where it was coming from, and it had extended warranty on it. But so we had to end up submitting a case with the warranty company for them to cover the AC outage. But, you know, as part of that experience, there's, of course, video in the lobby and there's a case being opened. And as part of our historical records and pictures being taken and submitted with that. And it's just a much richer environment than what it was a decade ago. And of course, there's no end in sight with the amount of data growing for those sorts of situations. Dave Littman: Okay, great. Todd Thank you. Bruce Kornfeld: David, can I can I jump in here? Yeah, Bruce. Go ahead. Yeah. Yeah. So just to follow on to what Todd just said, I mean, what I would I would just add that think about going to an auto parts dealer just five years ago or ten years ago. None of that would have been there. So I'm you know, what we see is that because technology has advanced so much thanks a lot to AMD and Intel and faster processors and smaller devices and faster memory, the innovation that's happening out there is driving all of this data at the edge. Companies are innovating a new ways to solve business problems and it's just generating a massive amount of processing and data coming out from the edge. And and and that's what we're all about here talking about today.

The conversation revolves around the exponential growth of data at the edge, with Todd Dorsey of DCIG emphasizing the role of more devices, applications, and larger files. He uses a warranty case at an auto dealership as an example of the increasing data richness today. StorMagic's Bruce Kornfeld follows up, contrasting current experiences to those just a decade ago, and credits rapid technological advancements from companies such as AMD and Intel for the burgeoning data landscape at the edge.

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