![]() #Machine learning factory software#We are a software solution and not a hollow based one. Patterson:How do you retrofit analog sensors with digital sensors? Hundreds and thousands of sensors in such a process and this is our first market we’re focusing on as opposed to, as you mentioned, to the discreet manufacturing, which is a bit different market segment, although it’s all under industrial umbrella. They don’t have a spare machine in the warehouse that they can just bring in and operate instead of the failed one and there is a lot of data. We are focusing mainly on the heavy process industry in which machines are big. Vesely: There’s a few distinguishable or a few categories that we can look at. What type of machines and how does your technology optimize the performance of those machines? Patterson:What type of machinery are we talking about? There’s a broad spectrum of course, everything from automotive to industrial. So, by employing or enabling, bringing machine learning capabilities or AI to the industrial market today, this is building the bridge I would say between machine learning and actual machines in the field. Sometimes using other types of software, but then the idea occurred together with my co-founders, why not doing it automatically the same data that far more advanced analysis, but the main difference is do it before the machine fails rather than after it fails and stops production. ![]() When I say analyzing, of course, it’s doing it myself, manually. What is the root cause of the problem and in doing that by analyzing and looking through tons of data. Specific machines would crash and as a support engineer, what I would do first is try to understand what happened. And as part of my role I used to support customers with failed machines where their production line would stop. I’m a mechanical engineer by education, so most of my experience as an engineer was in industrial automation, process monitoring and control, supporting machines in production lines. Maybe I will start with a few background, or introductory words about myself. I wonder if you could first tell me a little bit about how you bridge that gap between software machines and hardware machines? ![]() Eitan, thank you very much for your time today. That challenge is fixing machinery, or helping optimize machinery, actual physical machines, using machine learning and artificial intelligent. He is the CEO of Presenso, a machine learning and analytics firm based in Haifa, Israel. ![]() There has been much hype, much discussion, and much consternation about the role of artificial intelligence and machine learning, and are the robots taking our jobs?įor TechRepublic and ZDNet, I’m Dan Patterson, and it’s a pleasure today to speak with Eitan Vesely. ![]()
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