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Executive Summary

This webinar will delve into the transformative potential of large language models and other cutting-edge generative AI technologies, specifically tailored to address the needs of leading decision-makers in asset-intensive sectors. In this session, Verdantix analysts will provide an accessible exploration of complex concepts such as vision transformers, generative adversarial neural networks, and retrieval-augmented generation. By connecting these technologies, we will unveil their potential to redefine current best practices in operational excellence, simplify intricate industrial data management, and propel efficiency and resilience to unparalleled levels.

Enhanced by a comprehensive analysis of the latest academic research, commercial innovations, and trends within the vibrant open-source AI community, this webinar stands as an essential guide, arming you with the insights and tools to master and leverage the thrilling new era of artificial intelligence.

Organisations mentioned

About the authors

Joe Lamming

Senior Analyst
Joe is a Senior Analyst in the Verdantix Operational Excellence practice. His current research agenda covers industrial DataOps, AI/ML analytics and applications of generative AI for industry and enterprise. Prior to joining Verdantix, Joe worked in the consumer electronics industry, where he gained experience in overseas manufacturing, product design and data science. Joe holds an MEng in Mechanical Engineering and Sustainable Energy Systems from the University of Southampton.

Henry Kirkman

Analyst
Henry is an Analyst in the Verdantix Operational Excellence practice. His current research agenda focuses on connected worker solutions, technologies for industrial asset maintenance, and the industrial applications of AI, including generative AI and computer vision. Prior to joining Verdantix, Henry completed a Masters degree in Civil Engineering at the University of Exeter.

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