The Bowtie You Never Had Time to Build
How Process Insights turns FMEA spreadsheets into interactive bowtie diagrams, helping engineers visualise risk, spot gaps and track changes.
The Bowtie You Never Had Time to Build Read Post »
large language models
APM Studio Version 6: APM Engineering, Reimagined
Discover how APM Studio V6 uses AI to connect engineering data, improve workflows, and make industrial asset information easier to understand and use.
APM Studio Version 6: APM Engineering, Reimagined Read Post »
ACE: LLM-Based Bowtie Diagram Generation from FMEA – eBook
A technical eBook on ACE (Automating Causal Extraction), a framework using Large Language Models to generate Bowtie diagrams from FMEA documentation.
ACE: LLM-Based Bowtie Diagram Generation from FMEA – eBook Read Post »
Why Prompt Engineering Still Matters in the Age of Advanced LLMs?
As LLMs grow more capable, the gap between vague and well-structured prompts matters more – especially in safety-critical tasks where accuracy counts.
Why Prompt Engineering Still Matters in the Age of Advanced LLMs? Read Post »
Three Pipelines, One Goal: Comparing Bowtie Diagram Generation Methods
A quick comparison of three pipelines (RAG, OCR and Dual LLM) shows how each transforms different types of FMEA data into automated Bowtie diagrams.
Three Pipelines, One Goal: Comparing Bowtie Diagram Generation Methods Read Post »
From FMEA Tables to Bowtie Diagrams: How LLMs Are Changing Failure Analysis
Large Language Models can turn time-consuming FMEA documents into automated Bowtie diagrams, making risk analysis faster and more consistent.
From FMEA Tables to Bowtie Diagrams: How LLMs Are Changing Failure Analysis Read Post »
Creating Asset Insights in Minutes
Collecting data alone is not enough—effective visualisation is critical. Dashboards help turn complex asset data into intuitive visuals, enabling your team to spot patterns, detect issues earlier, and make faster, informed decisions.
Creating Asset Insights in Minutes Read Post »
Using Large Language Models in Manufacturing
Gain insight into how Large Language Models in Manufacturing improve process, control, and asset management decisions.
Using Large Language Models in Manufacturing Read Post »
Webinar: Using Large Language Models in Manufacturing
A webinar on how Large Language Models combined with time-series data provide context-aware decision support for process control and assets.
Webinar: Using Large Language Models in Manufacturing Read Post »
Large Language Models – The Future of Generative AI in APM
Generative AI applied to your own procedures, asset manuals and maintenance manuals saves the time spent searching for the right information.
Large Language Models – The Future of Generative AI in APM Read Post »
Large Language Models – What We Did
We investigated using Large Language Models in Asset Performance Management: finding missing information, locating assets and comparing health scores.
Large Language Models – What We Did Read Post »
Large Language Models – Our Use Case
Why UReason applied Large Language Models to the Control Valve App – driven by the scarcity of knowledge and expertise in industry.
Large Language Models – Our Use Case Read Post »
Large Language Models
Large Language Models are a deep learning method within Natural Language Processing – ChatGPT, LLaMa and Bert are the best-known examples.
Large Language Models Read Post »