Data Warehousing in the AI context

The current hype surrounding generative AI (GenAI) shows: If you want to work with AI, you need one thing above all else - high-quality, accessible and scalable data. After all, AI applications can only develop their full potential with a robust database.

A modern Data Warehouse forms the central basis for this. It consolidates data from a wide variety of sources, enables it to be processed efficiently and creates the basis for innovations such as real-time analyses and predictive analytics.

Our white paper gives you practical tips on how to make your data infrastructure fit for the future - and why the switch is worthwhile. The focus is on these 7 reasons:

• All data is potentially valuable
• Sophisticated technology, simple application
• Leave legacy behind and rely on modern solutions
• Flexible use of resources - depending on requirements
• Cloud technologies bring "security by design"
• Targeted development of knowledge and strategy around data
• Creating the basis for real innovation

Sounds interesting? Then download the free white paper here: