![](https://machinelearningweek.eu/wp-content/uploads/sites/21/2024/04/9260-800x800.jpg)
Speakers:
Optimizing LLM for Endress+Hauser: An Innovative Approach to Chatbot Design with Azure Semantic & Vector Search
Date:
Monday, November 18, 2024
Time:
10:45 am
Track:
Summary:
In this session, Muhammad will give you an in-depth exploration of chatbot innovation applied in a real-world setting at Endress+Hauser. This session will focus on Endress+Hauser’s practical implementation of Large Language Models, combined with the capabilities of Azure’s Semantic & Vector Search and strategically advance Retrieval-Augmented Generation (RAG) approach, to build a chatbot that is not only highly responsive but also remarkably intuitive. Muhammad will provide a comprehensive overview of their approach, detailing the process of integrating technology stacks and navigating the complexities of chatbot design, demonstrating the tangible benefits of these technologies in a real-world, industrial setting.
How AMP Managed Change: Step by Step from Paper-Free Towards Predictive Maintenance
Date:
Monday, November 18, 2024
Time:
11:15 am
Track:
Summary:
70-80% of all digital transformations fail, we know this for decades. While IT is often blamed for it, tech is unlikely to be the root cause: Most transformations fail due to people issues. When setting up AMPs digital transformation in production, Wiebke and Andreas closely connected the tech agenda with change. They will share how: the plant team was involved, we kept leadership involved and data helped to gain insights. Paper-free builds the data baseline, it serves as the main example.