Data and AI Night: AI-driven Products

Join us for the first Data and AI Night in our Berlin office! Let’s kick it off with two talks:

Business-aligned AI Products
with Dr. Larysa Visengeriyeva (INNOQ)
Developing innovative software products starts with an understanding that AI/ML should solve a real problem. However, the whole process, from identifying the use case to the introduction of ML models in the company, is not trivial. Larysa will discuss EventStorming and the ML Design Canvas, which help domain experts and developers to get a shared understanding of a business domain and identify use cases for AI/ML technologies. Using the ML Design Canvas, we formulate each use case as an ML problem.

Why you need to start with the problem, not the solution
with Verena Weber (Generative AI strategy, freelance, ex-Amazon)

These days, everyone talks about ChatGPT and Generative AI. Deep Learning in general is what is seen as state-of-the-art, and developers are keen to work with these technologies. Companies might want to use them to look innovative. While these technologies can deliver great value, they are not always the best solution. To ensure your ML solution delivers value, you need to define the problem and the requirements first, and then pick a solution.