Overview

High efficiency, high plant availability and a high level of safety are still the most important requirements for automation in the process industry. How can these be optimally realised today using machine learning, also in combination with proven process engineering models?

This webinar will show you the seamless interaction of future-oriented technologies and industrial applications. Thanks to AI, process data from the plant can be used optimally, not only to predict the risk of a process failure and to display warnings, but also to build up digital twins aiming to efficiently diagnose possible malfunctions long in advance. This would have been unthinkable just a short time ago.

Speaker

Monica Hildinger, Digitalization Manager, Siemens AG

Monica is a result-driven professional with over 10 years' experience, who is passionate about bringing positive and sustainable change where technology and business meet.

Monica has honed a unique combination of skills and experiences while working as a product software developer, technical product manager and as a business developer. In her current role as Digitalization Manager, Monica focuses on bringing together the virtual data-driven world and the real production environment to leverage, predict, optimise and increase the plant's potential using Artificial Intelligence.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenter's own and do not necessarily represent those of IChemE or the Process Management and Control Special Interest Group. The information is given in good faith but without any liability on the part of IChemE.

Time

10:00–11:00 BST.

Software

The presentation will be delivered via GoToWebinar®. Check system requirements.

You are advised to join the webinar at least ten minutes before the scheduled start time, to allow for your computer to connect.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you will need to be a member of the Process Management and Control Special Interest Group.