 Welcome to the ST stand at Electronica 2018 where ST is showcasing two of its major product areas, automotive and industrial. And manning the smart factory control centre is Viany Tufour. Viany, how are you? Hi Chris, I'm fine, thanks. This is amazing. It looks like something out of a science fiction film. What is going on? Yes, this is not science fiction. This is the control centre of a smart factory. From here you can monitor what's going on in your factories and optimise your production. So typically you will get the status of your assets. You will be able to track whatever logistics you have on the field and you will be also able to optimise the safety and the security of your solutions. So what kind of applications are we talking about? A good example is the predictive maintenance. Predictive maintenance is all about prediction. Make sure that you monitor your assets to prevent from any failure in the future. To do so, we will put sensors on top of the machine to detect any kind of any sign of failure which could happen in advance of time like ultrasonic sounds or vibration. We need to make the signal clean and then we'll send the signal to a processor which will compute, which will brain of the system in fact and will compute analyse the data. Next, we'll connect the system to the cloud and to your factory to be able to display dashboards and on top of that we'll put some security to make sure that your asset will be well protected. So if I decide to have a complete change of career as some people have kindly suggested, you have everything I need to run a smart factory. Definitely, ST has a large amount of solutions which will cover every use case of the smart factories and predictive maintenance. So what else can you show me? Let me take you on a quick tour around the demo area. Fantastic, lead on. On this tiny board, you have sensors to catch the vibrations of the motor, the MCU which computes and analyse data as well as the connectivity to get the motor and the sensor connectivity connected to the cloud. We can record the data and display the status of the various machines we have here on this dashboard. This is that simple to read. Even I can understand this. Yes, definitely. As you can see, we have green, yellow and red status for each of the machines we are monitoring. Green, everything is fine. When we come to the yellow area, that means the sensors have detected a small vibration or a small interesting sound, that means failure might happen sometime. And here we can take actions to make some maintenance, predictive maintenance. And then when it goes to red, it's too late, we are at the failure level. This is all about having the right information at the right time. It's that estimato, isn't it? Smart as safe and more efficient. That's it. And regarding this, we can have a look at something even more impressive when artificial intelligence comes into the picture of the predictive maintenance. Right. Let's have a look. We have here Chris takes predictive maintenance to another level. With artificial intelligence, we are able to classify the defects of this train wheel very, very easily and very efficiently. Our customer did develop an application based on our MCU, which is running this neural network stuff and is now computing the results of the analysis of the sensors placed close to this wheel. Green being good. Yes. Definitely, you remember the green, yellow, red stuff we discussed about here, the result is that easy to understand. You have the green when everything goes fine, the yellow, which means there is a specific type of defect and the red, which is another one. That is the classification which comes out from the artificial intelligence. So the big question, where can customers find out more about these amazing products? And the good answer is that you have a lot of information on ST websites in the application area. We have dedicated a whole area for the industrial applications where you will find solutions and details about the products provided by ST. I invite you to have a look to this specific website because it's very extensive in terms of information. I promise I will. I can't promise I'll understand it all, but I promise I will. I'll show you will. Thanks so much. Thank you, Chris. Take care.