Master classes

• 13.00
• Auditorium 2

From smart sensors and actuating devices to integrated robotic systems, industrial organizations are employing increasingly sophisticated automation technologies to drive efficiency and productivity. From smart buildings, to industrial machinery, to robotics, Microsoft is democratizing the development of increasingly autonomous systems by providing domain experts, developers, and data scientists with the tools they need to seamlessly develop and manage autonomous systems. In this masterclass we will let you experience what AI looks like in an engineering environment, without the need to be to technical yourself. We will simulate a data source and analyze device data using stream analytics and artificial intelligence. We will create a dashboard to monitor the behavior of your solution and use these metrics to guide its actions. The masterclass is based on the Microsoft Azure cloud platform.

• 13:00
• Auditorium 6

Many industrial companies struggle to leverage production AI for product development for two reasons:  

1. Data scientists are scarce  
2. Common AI platforms are not well suited for scaling with industrial data  

This masterclass explains how to bridge AI and industrial product development by: 

• Using simulation as a low-cost source of machine failure data 
• Enabling team collaboration with the interoperability of MATLAB® and other languages 
• Accelerating production AI with easy access to high-performance computing (HPC) and automated code generation 

We will illustrate the end-to-end workflow with a practical case study, starting with a digital twin of a mechatronic system, up to the deployment of machine learning models for predictive maintenance. This masterclass provides vital insights and useful practices for data scientists, engineers, and managers who want to benefit from operationalizing AI.