Tobias Heuser

I teach the course SPII-2 "Artificial Intelligence -- Theory, Methods and Frameworks" that has a strong focus on machine learning systems design. The following topics are covered: (1) Data Sources & Data Collection, (2) Feature Engineering, (3) ML Types & Model Architectures, (4) ML Model Training, Testing & Evaluation, (5) Deployment of ML Systems. For more details about DBUAS, please visit https://dbuas.de/

I am building and deploying data pipelines and ML models for traffic jam prediction and anomaly detection. Moreover, we at [ui!] believe that explaining and visualizing ML results to customers is a crucial point when it comes to believing in artificial intelligence solutions. This is why we build sophisticated kepler.gl demos and other extensive data visualizations to answer our customer's questions and create value to their needs. All for better decision making!

Developing for Markets, Information Systems Management, Business Process Innovation and Change, Strategic Management of Information Technology

Innovationsmanagement, Entrepreneurship, Electronic Markets, Business & Service Engineering, Recht des Geistigen Eigentums, Virtual Engineering, Operations Research im SCM, Netzwerkökonomie

Geschäftsprozesse und Informationssysteme, Informations- und Datenbanksysteme, Geistiges Eigentum und Datenschutz, Wirtschaftsprivatrecht, Real Estate Management