Overview

Learn about fusing corporate documented experience with generative AI. Technology can create systems to act as expert co-workers that can instantly respond with relevant information for your teams' work by harnessing the power of Generative AI. Understand the required input data and quality plus how to avoid hallucinations.

This allows you to:

• unlock knowledge in documents
• drive understanding with powerful data ontologies
• extract insights for safety and operational planning.

This is achieved by scanning across 10,000's of historic technical documents, such as incident reports and operating procedures, while understanding the natural language and context. It can surface summarised insights and recommendations based on what the user is working on to enhance timely decision making. It can combine expertise to create the powerful data ontologies and knowledge graphs for a more complete understanding of your domain.

Use cases include:

• Operations Planning Safety Mitigation. Improve safety and quality with a semantic knowledge graph of hazard reports that surfaces risks associated with planned operations
• Commissioning & Support Root Cause Analysis. Use a knowledge graph of maintenance reports to diagnose emerging equipment problems in 85% of cases
• Automated Authoring of Reports. The solution can enable authors to populate, edit and update tables, reducing the authoring time by 90% or ~20FTEs.

Speaker

Jamie Downing, R&D Transformation Consultant, Capgemini

Jamie is an R&D Transformation Consultant. He has 18 years’ experience working with some of the largest R&D programmes from chemical formulation to nuclear fusion, guiding them on the best way to use the latest technology to accelerate R&D and exploit scientific and engineering knowledge in industrial operations. He has a master’s degree in physics and has worked with Capgemini since 2021. Prior to that he worked for Tessella from 2006 until Capgemini acquisition in 2021.

The material presented in this webinar has not been peer-reviewed.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

Webinar recording