Abstract: 

In an era of unprecedented supply chain complexity and volatility, a new technology is emerging as the ultimate game-changer: Generative AI. This revolutionary tool is transforming how companies manage their supply chains, optimize KPIs, and unlock hidden value.

In this talk, we'll dive into the real-world applications of Generative AI, from hyper-accurate demand forecasting to dynamic logistics optimization and proactive risk mitigation. We'll explore how this cutting-edge technology is slashing costs, boosting revenues, and enhancing agility for businesses across industries.

Using concrete examples in code, we'll demonstrate how Generative AI can tackle everyday challenges. We will focus on unexpected equipment and service failures leading to customer support. You will learn how to turn vast amounts of data into actionable insights that drive smarter decision-making and tangible results.

By the end of the presentation, you will have a clear vision in concepts and code of how to leverage Generative AI for your projects.

Background Knowledge:

Python, a free Google Colab account.

Bio: 

Denis Rothman graduated from Sorbonne University and Paris Diderot University, designing one of the first patented encoding and embedding systems. He authored one of the first patented AI cognitive robots and bots. He began his career delivering Natural Language Processing (NLP) chatbots for Moët et Chandon and as an AI tactical defense optimizer for Airbus (formerly Aerospatiale). Denis then authored an AI resource optimizer for IBM and luxury brands, leading to an Advanced Planning and Scheduling (APS) solution used worldwide. Denis latest book on AI is Transformers for Natural Language Processing and Computer Vision, 3rd Edition.