Why you should attend
Get practical tips to manage ML projects and bridge gaps between business, data science, and IT
Learn how the Machine Learning Canvas helped Deutsche Telekom go from project inception to deployment in production
See a real-world example of a complete MLC for an enterprise project
About the speaker
Christian A. Schiller is Senior IT & Enterprise Architect & Data Scientist, at Deutsche Telekom IT:
"I introduced MLC as tool in a machine learning pilot project; the ML system designed and developed with it went live in June 2020 and still is. The MLC helped us to bridge two different gaps: between business and data science (with MLC business value, data and algorithm elements), and between data science and IT (with some MLC deployment aspects snuck into the MLC). It allowed the core team and adjacent teams to structure and focus our delivery sprint planning based on the business-datascience-IT-aligned version of the project’s MLC.”
Getting access
It's free to attend live (you can also ask questions during the event). For those who are in a timezone that makes it difficult to join live, the replay will be available for 24 hours only.