TDWI München 2022


06/20/2022, 8:30 (CEST)



Starts in:


TDWI München 2022 will take place from 20th to 22nd June and we are looking forward to meeting you there!

The leading international conference for data & insights offers you endless opportunities to exchange ideas and make contacts with BI & Analytics experts during presentations and discussions. Our experts from Adastra will also join the event and they hope to welcome you at our booth as well as excite you with the following sessions they have in store for you!

On the first day of the event our colleague Lars Nielsch is going to present an AI solution and showcase how to reach set goals by taking advantage of Machine Learning Engineering. A very interesting case study held by Johannes Mellenthin is waiting for you on the second day. He also discusses ML with a focal point on interactive predictions. 

Find out more below and make sure to mark your calendars!

Presentation "KI-Lösung ist das Ziel - mit ML Engineerig erreichen Sie es"

Mon, 20.06.2022, 13:45 - 15:00 p.m.


Lars Nielsch

Principal Solution Architect Analytics & Cloud

Artificial intelligence has long since outgrown its pioneering age. But in order to create real added value for businesses with the use of AI, it is essential to provide high-quality data. This is where ML Engineering steps in - a concept for managing the high complexity of data in the development of AI systems. The talk will present an ML Engineering roadmap to successfully deploy this often underestimated yet critical concept.

Case Study "Interactive machine learning predictions using microservices and Tableau"

Tue, 21.06.2022, 13:45 - 14:15 p.m.


Dr. Johannes Mellenthin

Head of Data Science

Bringing advanced analytics to end users through well-established reporting tools can be challenging. The solution we present in this talk enables business users to directly receive machine learning predictions for their custom selections in Tableau. We use Big Data and AWS (PySpark) technologies for our machine learning pipeline. The ML models are then deployed to MLflow and two-way communication to Tableau is ensured through APIs.

Quick Facts

Place:      MOC Munich

Time:      20th - 22nd June 2022

Visit the event website for more information and to secure your tickets!