What we’re about
Join Hamburg's largest data science & machine learning community! With around 4000 members and 10+ top-tier events a year, we dive into everything from databases to deep learning. Bring your passion and help shape the future of data in Hamburg!
Always reach out to me if you want to hold a talk or if you can offer to host the meetup at your company. This is a true community project in Hamburg. Without you this event wouldn't be that great!
Upcoming events (1)
See all- HH DS + ML Meetup at cronncronn GmbH, Hamburg
Welcome to the August version of our Data Science + Machine Learning Meetup Hamburg!
I'm very excited that we are able to host at the Hamburg office of cronn this month!
We will have 2 cool talks:
Speakers:
- Andreas Nohn, Lead Data Scientist, Kuehne+Nagel đź”— LinkedIn
Simple but Impactful: Automation of Address Reviews with GenAI at Kuehne+Nagel
Addresses of business partners are core data for every company, serving as the foundation for accurate customer analytics, reliable reporting, and effective business operations across all departments. Traditionally, maintenance of this data has relied on tedious, manual reviews in Excel files.
Over the past 1.5 years, the data science team at Kuehne+Nagel has revolutionised this domain with the automation of reviews using Large Language Models. We will share our journey developing multiple LLM-powered use cases that transform manual workflows into intelligent systems, improving data quality across global operations. Join us to discover practical insights and lessons learned from implementing GenAI solutions for real-world enterprise data challenges.
- Martin Preusse, Partner & Founder, Kaiser & Preusse đź”— LinkedIn
Neurosymbolic AI with LLMs and Knowledge Graphs
This talk outlines a neurosymbolic approach—combining neural LLMs with symbolic knowledge graphs and ontologies—for practical data-science workflows. We’ll introduce GraphRAG: building a graph from your corpus and using graph structure and summaries to retrieve context, contrasted with text-only RAG. We’ll then use ontologies and SHACL constraints as machine-checkable contracts to scope prompts and validate model outputs. Finally, we’ll discuss using LLMs for entity harmonization and for bootstrapping vocabularies/ontologies, with notes on accuracy, cost, and human oversight. For context, we’ll situate these patterns in recent work on neurosymbolic AI.
Agenda:
- 18:00 - 18:15 Doors open, have a drink
- 18:15 - 18:30 Grand opening
- 18:30 - 19:15 First Talk
- 19:15 - 19:45 Break
- 19:45 - 20:15 Second Talk
- 20:15 ~ 21:30 Networkingđź“Ť Location: cronn Hamburg
The Meetup language and all talks will be in English.
- Andreas Nohn, Lead Data Scientist, Kuehne+Nagel đź”— LinkedIn
