Striving for simplicity in Data & ML

More frameworks for machine learning, even more tools for MLOps. All the new GenAI stuff. And then there are all the different methods for storing, processing and managing data. Who can keep up? The implications are huge, not only for projects but also for people and companies.

Let’s take a look: What is really needed? What complexity is necessary and what is homemade? Where & how can we simplify? A talk without fancy algorithms or new technologies. But an attempt to take a step out of the hamster wheel.

All the points not apply to data but to every hyped topic - looking at you, GenAI!