Join us for an exclusive webinar where we unveil our latest advancements and the invaluable lessons learned from integrating Large Language Models (LLMs) with time-series data. Our primary goal is to evaluate the potential of LLMs in offering valuable, context-aware decision support for process control and asset management.
Webinar Overview
In this comprehensive session, we will explore how LLMs, combined with the insights from our Control Valve App, can enhance decision-making processes in manufacturing. LLMs represent a cutting-edge class of artificial intelligence models designed to understand and generate human language. These models are notable for their immense scale, built upon deep neural networks with parameters ranging from hundreds of millions to tens of billions. Pre-trained on vast amounts of text data, LLMs excel in understanding linguistic nuances and performing a variety of language tasks.
Why Attend?
- Fundamentals of LLMs: Gain a solid understanding of what Large Language Models are and how they function.
- Practical Use Cases: Discover real-world applications of LLMs in the manufacturing sector.
- Impactful Results: Learn about the significant outcomes achieved by applying LLMs to manufacturing processes.
Who Should Attend?
This webinar is ideal for manufacturing professionals, process engineers, data scientists, and anyone interested in the intersection of artificial intelligence and industrial processes.
Speaker
Jules Oudmans - Director Consultancy
Jules Oudmans is one of the co-founders of UReason. He is a seasoned professional active in the field of operational intelligence and real-time analytics. He has set vision and supported early adaptors and co-visionaries in Oil & Gas, Petro(chemical), Utilities, Pulp & Paper, Defense and Telecom industries at companies such as Halliburton, BP, Motorola, Siemens, Shell, Cargill, Lyondell and BG/Transco.
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