Workshop Oracle – Sport analytics – based on Formula One race results

The workshop covers the context sport analytics based on Formula One race results (since 1950):

  • Challenges of Data Science
  • Overview of the unified AI/ML platform
  • Showing how cloud-native Oracle Analytics Cloud addresses the entire analytics process from data ingestion, modeling, collaborative platform and build a ML prototype without coding

Showing Oracle Data Science Cloud Service to build, train, and manage ML models on Oracle Cloud using open-source Python ecosystem for AutoML, model evaluation, and model explanation.



Holger Czellnik, Principal Cloud Specialist | Oracle

I have been working in various positions in the field of Business Intelligence / Business Analytics for more than 20 years and almost 15 of them at Oracle. In addition, I am interested in data management systems (relational databases – especially Oracle, Data Lake, Lake House, …) and current topics such as machine learning. Initially, I was responsible for on-premise products and in recent years expanded to include services in the (Oracle) cloud.


Said Nechab, Principal Sales Consultant | Oracle

Said has strong knowledge in the area of data science and AI from educational background and professional experience in various companies. Said has been working in Oracle for the last 12 years. Said started by being responsible for Oracle Real-Time Decisions solution and for the 4 years has been focusing on Machine Learning, Data Science and AI Solutions within Oracle. His role involves working closely with  Oracle field people and customers across EMEA  in the area of data science and AI but also working closely with product management with continuous feedback and product discussions.