1. Looking from a strategic perspective, how do organizations benefit from AI? How do you successfully deliver AI projects, covering everything from scoping to AI models and integrating them into the overall IT landscape?

2. Which quality assurance measures help validate the AI models accuracy and their integration in the overall IT landscape?

3. What are the technical options to store data and deliver the data to the training environments for data scientists or the production systems?

4. How can organizations protect data, information, AI models, and system environments?

5. How do data-driven companies innovate with AI? Why might it be a bad idea to broaden the scope of existing data warehousing (DWH) and business intelligence (BI) teams to cover also AI services?

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