How we improved our semantic search using Neural Networks

Bonn Code meetup #9! :-)

This time we are having a short meetup around the topic of neural networks. We are happy have Sebastian Hätälä and Philipp Glock presenting us a use case in which they are using neural networks for a semantic search.

## Agenda 🧭

Times are in CET.

• 19:00 - 19:15 Arrival, get to know each other
• 19:15 - 20:00 Talk: How we improved our semantic search using Neural Networks
• 20:00 - open end Discussion and Q&A

## Talks 🎙

►Talk (19:15 - 20:00 CET)
Title: How we improved our semantic search using Neural Networks

Description:
Our Data Science team uses Graph Convolutional Networks for different problems at LeanIX. Using a practical example we want to showcase the use of Graph Convolutional Networks and invite you to take a peek behind what it is that makes such neural networks worth implementing.

About the speakers:
Sebastian Hätälä is a Full Stack ML Engineer, passionate about developing product features that have users aweing. After a decade in IT Consulting, Sebastian joined the Data Science Team at LeanIX. Most recently, this team has successfully implemented a well-performing embedding of Fact Sheets using Graph Neural Networks.

Philipp Glock is a python enthusiast that wants to take machine learning models to production. He has experience building convolutional networks for image classification and transformers for text processing using pytorch.