Once again, the team took centre stage. All scieneers from Karlsruhe, Cologne and Hamburg came together for a two-day autumn event at the end of September. As well as having some exciting discussions and taking part in some joint activities, we also welcomed five new colleagues. We are now a team of around 50 people!
PyData Berlin 2025 at the Berlin Congress Center was three days full of talks, tutorials, and tech community spirit. The focus was on open-source tools and agentic AI, as well as addressing the question: How can LLMs be used productively and in a controlled manner? We from scieneers gave a presentation on LiteLLM, titled “One API to Rule Them All? LiteLLM in Production”.
In our ‘Bring Your Own Data’ workshop, you will learn about the capabilities of Microsoft Fabric, from connecting data to integrating AI, all with your own data. It is ideal for business users, data professionals, and decision-makers who are looking for a practical introduction to modern data platforms.
With our ‘Data Science for Everyday Work’ training course, we aim to help companies bridge the gap in practical knowledge when implementing machine learning projects and foster a shared understanding within the team.
We also offer individual modules that can be combined as desired, and we provide consultancy services for your specific data challenges.
Most of our colleagues from our three locations Karlsruhe, Cologne, and Hamburg met in Hamburg for two days. We discussed specialist and internal topics, gained new ideas, and shared experiences.
We provide an overview of how real-time data is processed with event streams in Microsoft Fabric.
Microsoft Fabric’s Real-Time Intelligence allows data streams to be analysed at lightning speed. We provide a concise summary and explain how it works.
At this year’s Minds Mastering Machines (M3) conference in Karlsruhe, the focus was on best practices for GenAI, RAG systems, case studies from different industries, agent systems, and LLM, as well as legal aspects of ML. We gave three talks about our projects.
Global models such as TFT and TimesFM are revolutionising district heating forecasting by providing more accurate predictions, using synergies between systems and effectively solving the cold start problem.
Success in Research and Development (R&D) with Scrum depends on the effective acquisition and utilisation of knowledge. Spikes play a central role as a method for minimising risk in Scrum. The article discusses how spikes can be used, prioritised and documented efficiently and presents best practices from an R&D project, including regular spike maintenance dates and a lab book for insights, complemented by adapted definitions of Ready and Done.