Overview

While process manufacturing has reached high levels of automation, the challenge of yield and product quality variability seems to persist for both batch and continuous processes. This requires new optimisation approaches over traditional process control methods such as APC and MPC to deliver impactful real-time and predictive decision making. Quartic will discuss the benefits of small data, sample efficient AI optimisation, how it compares to these more traditional methods, demo how it can be used to optimise process industries, and how it enables fully autonomous manufacturing with closed-loop AI control.

Speaker

Bryan Pope, Senior Solution Engineer, Quartic.ai

Bryan is Quartic.ai’s lead solutions engineer, focused on applying the latest technologies to deliver on customers’ data and analytics strategies. He has more than 11 years of experience in the industrial data and analytics space, specialising in batch-based industries – life sciences, food and beverages, and specialty chemicals. Bryan holds a Bachelor of Science in chemical and biomolecular engineering from the University of Pennsylvania. 

The material presented in this webinar has not been peer-reviewed.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

15:00–16:00 GMT.

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.