 Hello everyone and welcome. Thank you for joining my brief overview of solutions for industry 4.0. I'm Tom Bocchino with the Mems and Sensors Product Marketing Team here in SD Americas Region. Industry 4.0 refers to the fourth major industrial revolution often referred to as the IoT. The key driving force behind this generational change is the miniaturization and explosive growth of low cost sensors plus the availability of very low power microcontrollers and turnkey connectivity solutions with longer ranges and negligible power consumptions. It's truly an exciting time in our industry especially for creative engineers working on industrial applications. A myriad of new applications has emerged under the umbrella of smart industry. These applications involved large assets such as machines, rotating engines, HVA systems, elevators and escalators just to name a few. Predictive maintenance is implemented as a closed loop system between the equipment for example on the factory floor and the analysis tools. The data is collected on the end node and by utilizing distributed computing capabilities the processing of data can be accomplished in the sensor nodes themselves or in the local gateways or even in the cloud. There is a trend to push more and more decision making to the edge or to the sensor node and this really makes sense for reasons of improved security, less data transmission and lower overall power consumption. This is called the installation point of failure curve. By sensing a machine's condition over time we can predict where the machine is in its life cycle. For example after installation of a motor the first symptom of a future failure is likely to be a change in the ultrasound signature. The next symptom is vibration and after a period of time other symptoms begin to manifest themselves in very predictable ways at frequency that we know. For each of these conditions ST does offer low power sensors which can detect even the smallest of signals. STWIN is one of the newest kits in our tool bag and here I've mapped the various sensors along with their respective frequency responses along the x-axis. For example on balances and misalignments would have a low frequency characteristic and this can be identified using a standard accelerometer such as IIS2DH or ISM330DHCX in cases of non-stationary equipment. Bearings and cavitation failure modes would require the sensor to detect vibration at higher frequencies and here we can cover it with our latest vibration sensor IIS3WB with up to 5 kHz signal bandwidth. At higher frequencies standard or ultrasound microphones would be used to capture signals in the frequencies up to and above 80 kHz range. Each of these sensors is included in our industrial product lineup which come with a 10-year guarantee of supply longevity. With STWIN you can collect data from many sensors and process the data locally or in the cloud. STWIN is a great tool for evaluation feasibility or as a baseline for product development. Finally in addition to STWIN ST offers several options covering the complete ecosystem for IoT. In addition to our chips and kits we offer many software examples in SDKs from the edge to the cloud. Our partner program is fully operational and with a well-developed ecosystem of partner companies to help you go from idea to mass production. That's all for my quick presentation. I would like to thank you and pass a sincere thanks for spending just a few moments of your valuable day with me.