Overview

AI can produce an answer in seconds. But can it determine whether the process data behind that answer is stale, flatlined, misconfigured, or unexpectedly changed? Can you verify where the data originated, how it was calculated or transformed, and which systems contributed to the result?

Process data rarely fails in one obvious place. A sensor degrades, a calculation is modified, a tag is reconfigured, or an upstream system changes. The resulting value may continue flowing through asset models, visualizations, reports, digital twins, and AI applications without users knowing that its meaning, origin, or reliability has changed.

Drawing on practical industrial examples, this webinar explores how OT data observability helps teams monitor the quality, lineage, configuration, and use of process data. It will show how organizations can detect issues earlier, trace values from their source through calculations and downstream consumers, identify recent changes, understand what is affected, and establish a more structured process for investigation and resolution.

Attendees will learn how these capabilities can reduce troubleshooting time, prevent persistent data issues from spreading unnoticed, strengthen governance, and provide a more transparent and trustworthy foundation for analytics, digital twins, and industrial AI.

Speaker

Jie Chou, PhD, CEO, Tycho Data

Jie Chou, PhD, is the Founder and CEO of Tycho Data. He has about 15 years of experience designing and delivering industrial data solutions across oil and gas, chemicals, pharmaceuticals, and manufacturing. Before founding Tycho Data, Jie worked at OSIsoft, now part of AVEVA, across product, engineering, and professional services. His work focuses on OT data observability, P&ID digitization, and semantic layers for industrial data.

The material presented has not been peer-reviewed.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.