Eric Joachim Liese, Lead Architect for AI & Data, BSH Home Appliances Group and Dr. Rahim Malekshahi, Specialist Strategic Foresight,

BSH Home Appliances Group

Not every problem needs to be solved by AI. If you consider the full toolbox available to you to solve tasks, you will realize that AI is mainly an extension of it, adding new tools and therefore new possibilities to solve business problems. However, one of the main challenges is to cultivate a new mindset and culture around working with AI-related technologies and products. In this workshop, you will learn how to identify and prioritize business problems that can and should be solved with AI.

• Developing AI-literacy in the management teams

• Working through common mental blocks, such as the fear of being replaced by AI in the

 near future.

• Creating the right expectations around project management in AI context.

• Finding a framework to prioritize AI projects according to risk vs. potential and

 identifying low effort and high impact projects.

• Build vs. buy: opportunities and risks of using “out of the box” AI tools

Dr. Rahim Malekshahi, Specialist Strategic Foresight, BSH Home Appliances Group and Eric Joachim Liese, Strategic Advisor and Lead Architect for AI & Data, BSH Home Appliances Group, Room Universe



Eric Joachim Liese, Strategic Advisor and Lead Architect for AI & Data, BSH Home Appliances Group and Saif Addin Ellafi, Product Lead, MLOpsData Engineer, Solutions Architect, BSH Home Appliances Group, Room Neptune

• What is and why do RAG

• Building and Deploying RAG IaaS

• Reusable and customizable components

• Getting and maintaining data for the LLM

• Quick start use case onboarding formula

• Common boilerplate frontend (Streamlit)

• Reusable observability and monitoring