Why context is key to scaling industrial AI
Energy companies already generate a lot of data to feed into AI systems. But this data needs detailed context to maximise its value and allow those systems to scale up, writes Hermias Hendrikse, Global Industry Development Lead for Energy, Chemicals and Infrastructure at Siemens Digital Industries Software.
Context Engineering: The Missing Link Between AI, Knowledge Graphs and Digital Twins
Wassim Ghadban, Global SVP of AI & Digital Engineering at Kent, explains how Context Engineering integrates Digital Twins and Knowledge Graphs to provide Industrial AI with reliable, connected insights into assets, operations, and risks.
Mesbah Khan
Data Innovation Manager, Shell
Susan Burrell
Product Owner for digital Twin ERP and Data Foundations at Shell
Arnold Hes
Process Control, Digital & Instrument Manager at Shell
Mariann Forsberg
Ormen Lange Digital Lead at Shell
Joseph McDonald
CEO at Hazid Technologies
Bartlomiej Ahmida
Marketing Manager, GDM Digital Integration Marketing Intelligence
Berdiyar Saurbayev
Managing Principal, Energy Consulting at EPAM Systems
Adam Williams
Senior Manager, Engineering Design Technology at Motiva