InsurLab Germany publishes Annual Report 2021
Following our Annual Members Meeting on April 27, 2022, we already announced it: Our InsurLab Germany…
freeyou & e-bot7 bring KI to the insurance industry
The success story of a collaboration between freeyou and e-bot7 on the topic: AI in the…
Result of the members’ meeting: board of lnsurLab Germany in new constellation
This year’s ordinary members’ meeting was held yesterday, April 27, and featured an interesting agenda. This…
Your contact
Das Team
Wir freuen uns auf Ihre Kontaktaufnahme!
Logo InsurLab Germany
+49 221 986 52 90


13. September 2019, 14:00
InsurLab Germany
Schanzenstraße 6-20
Gebäude 3.09
51063 Köln

SAS Workshop


Data Analysis Workshop with SAS

Machine learning is a core component of many AI applications. Especially in the early phases it is a matter of creatively and quickly testing evaluation ideas, agilely exploring the data and developing prototypes. However, the later productive use should not be ignored. In this workshop we will show you how this works. The workshop is divided into the following blocks:

  • With Self-Service Analytics, you can quickly explore data and recognize correlations. Uncomplicated building and refining machine learning models, playing through what-if scenarios for the consequences of model applications.
  • Using methods systematically for machine learning. Supervised, Unsupervised, Semi-Supervised Learning, Modeling Pipelines, Feature Generation, Model Tuning/ Hyperparameter Tuning, Model Comparison and Interpretation.
  • A look into the analytical ecosystem. Openness, scalability, elasticity.
  • View on model management and operationalization. How do I bring my model assets into production and secure their value contribution over time? Model Management and Governance, Scoring Tests, Performance Monitoring and Re-Training