Artificial intelligence is on everyone’s lips these days. Products such as ChatGPT have recently contributed significantly to making AI more accessible and useful in everyday life for many people.

For companies, AI can help increase efficiency, scale operations, and reduce costs. To maximize its benefits, models and services must be tailored to specific use cases and trained with relevant data.

To give developers and data scientists the capabilities they need, ROSEN introduced an AI platform based on Kubeflow. The platform runs on a container platform. However, introducing and operating an AI platform comes with a range of problems and challenges.

Our most important takeaway was that a stable platform is crucial. Investing in stability minimized downtime and technical issues, which was particularly important for gaining acceptance among developers. It is also essential to think big from the outset and consider the long-term perspective and scalability in order to meet future requirements.