Overview

Manufacturers today are under constant pressure to improve quality, reduce variability, and increase throughput - all while operating with aging infrastructure, fragmented data, and limited engineering resources. The challenge is no longer just collecting data; it’s turning operational data into consistent, scalable action.

Join TwinThread for an in-depth webinar exploring how leading manufacturers are using Industrial AI to move from reactive operations to proactive, self-optimising production. Through real-world use cases, we’ll demonstrate how TwinThread’s Industrial AI Platform enables organisations to identify hidden process drivers, stabilise operations, and continuously improve production performance at scale. You will see how manufacturers are leveraging:

• Perfect quality to uncover the process conditions driving scrap, rework, and variability, enabling teams to predict and prevent quality losses before they occur
• Perfect centerline to automatically identify and maintain optimal operating ranges, helping operations teams reduce run-to-run variation and standardise best-run performance across lines and sites
• TwinThread Industrial AI to unify predictive, prescriptive, generative, and agentic AI capabilities into a single operational intelligence platform that empowers engineers and operators with real-time recommendations and explainable insights

Attendees will learn how Industrial AI can:

• reduce process variability and improve consistency
• accelerate root-cause analysis and problem resolution
• optimise yield, throughput, and uptime simultaneously
• empower operations teams with AI-driven decision support
• scale continuous improvement across plants and production lines.

Whether you are focused on quality improvement, process optimisation, or digital transformation initiatives, this session will provide practical examples of how Industrial AI is delivering measurable operational impact in days, not years.

Speaker

Mariam Ilyas, TwinThread, Engineering Consultant

Mariam is an engineering consultant for TwinThread. Prior to this she has worked as a project engineer at Honeywell and a global technology lead and other roles at ExxonMobil. She has a masters degree in data analytics from Georgia Institute of Technology and a BS in chemical engineering from the University of Florida. She is passionate about improving manufacturing processes through automation and modelling.

The material presented has not been peer-reviewed.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 BST.

Software

The presentation will be delivered via Microsoft Teams. We recommend downloading the app from the Microsoft website, rather than using the web portal.