Through educational talks and hands-on demonstrations, you'll learn everything you've dreamed of. Take this opportunity to get connected and get inspired:
"Trusted AI: Building Reproducible, Unbiased and Robust AI Pipelines using the Python OpenSource stack", by Romeo Kienzler, Chief Data Scientist, IBM Center for Open Source Data and AI Technologies (CODAIT) in San Fransisco
"Practical DevOps: helpful and important for Data Scientists, too", by Thomas Müller, DevOps Technical Leader DACH at IBM
Deutschland
"Data Science in Action. Hands-on Lab with Watson Studio", by Stephan Lobinger, Lead Solution Architect at IBM Switzerland
"Scale Your Python Code for the Cloud and how Serverless Computing can help", by Rene Meyer, Cloud IT Architect at IBM Deutschland
"The Next Level of Virtual Assistants", by Matthias Biniok, Lead Watson Architect DACH at IBM
Deutschland
|