In this interview segment, the speakers discuss how edge computing can meet tight latency requirements by processing data locally—filtering and aggregating it on‑premises—before sending only the necessary information to the cloud for broader enterprise analytics. They then shift to the broader context of Industry 4.0, contrasting traditional monolithic ERP‑style systems that attempt to handle the entire order lifecycle with newer, modular approaches that solve specific problems such as quality improvement, maintenance, and throughput. The conversation highlights a growing industry realization that large, single‑vendor, monolithic solutions create lock‑in and hinder agility, prompting a move toward more flexible, best‑of‑breed, and evolvable system architectures that can adapt as business processes change.
And under the umbrella of edge computing, there's a lot we can do to handle things that need— that are— they need to have more tight latency requirements. We can do them on-premise. But we can do it in a way that we're prepping that data, filtering, and aggregating, and sending into the cloud what we need to do for other kinds of enterprise analytics.
So just a quick question to stick with the systems piece for a minute. Are you seeing nowadays, and are people that are considering Industry 4.0, when you talk about systems, is it, you know, a big all-encompassing monolithic system that runs everything from, you know, beginning of the order to the end of the order and, you know, all that kind of stuff? stuff like a big bang holistic system? Or are you talking more solving a problem, solutions to, you know, improve quality or help us with our maintenance or help us, you know, improve efficiency or throughput? Is there— I guess, what's your vision of what— how do you define systems from a scale?
Yeah, yeah. I mean, many organizations for years have been trying to say, let's standardize on a single vendor, you know, let's get that ERP system to do everything for us. And it sounds appealing, right? Have a single, single solution. And let's keep adding more functionality and ask that vendor to keep adding more and more functionality to that. And then we don't need to worry about integrating multiple systems and things like that, right? So that was That I think now there's been a shift. And we realize that these monolithic, huge systems become locked-in systems, it's really, really hard to change. Every, all the rules are hard-coded, all the— so that it doesn't lend itself to an evolution with. So as the business evolves, you want to keep changing processes, you want to be more agile.
