 Ben, look at this. You're not going to believe this manufacturing error. Bicycles around the world are spontaneously collapsing. A screw-used in production was manufactured too small. Unfortunately, the error went unnoticed until the bikes had already left the factory. Wow, they really screwed up. Sorry, shouldn't joke. Yeah, if you're not careful, the same thing will happen to our bikes. No, it won't. Greetings, friends. Robbie, you can't surprise people like that. That's why I said greetings. Anyways, I hate surprises, which is exactly why this will never happen to us. Well, how can you be so sure? This whole bike fiasco could have been avoided with a little edge computing setup, AI machine learning. What? We need to quickly analyze data locally to react to problems on the fly, right? So, if we want things to run smoothly, it's not about moving our data to the analytics. It's moving the analytics to the data. Bingo. We bring our analytics to the production lines, where we can collect and analyze our data. That way, we can detect problems right where the action is. How do we manage all that? I'll show you.