The Conference for Machine Learning Innovation

Continuous Delivery for Machine Learning Applications with Open Source Tools

Session
Join the ML Revolution!
Register until the conference starts:
✓ 50% off on all prices
✓ 10% team discount
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Join the ML Revolution!
Register until the conference starts:
✓ 50% off on all prices
✓ 10% team discount
Register Now
Join the ML Revolution!
Register until November 4:
✓ 2 in 1 conference special
✓ Save up to €220
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until November 4:
✓ 2 in 1 conference special
✓ Save up to €220
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Infos

Developing intelligent applications is becoming easier based on huge amounts of freely accessible documentation, tutorials, and software frameworks. But what does it actually take to bring these applications into production environments, run them scalable and in high quality and improve them continuously?
We will present how we have developed a chatbot for HR services with rasa.ai, TensorFlow and Keras and organized the development process with mixed teams of product owners, data scientists, dialog designers, data engineers, and machine learning developers with a continuous delivery approach. By using pipelines and version control mechanisms for the different artifacts (code, data, models, parameters), quality gates, and continuous delivery orchestration, we were able to automate the process of continuously developing and improving the chatbot. This enabled us to bring models continuously from the data scientists notebook into production, improving the chatbot and experimenting with live users. The audience will learn how to apply Continuous Delivery for Machine Learning and the great benefits they will get. In the end, we will give an outlook for future developments in software engineering practices for machine learning applications.

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Session Diese Session originates from the archive of stammt aus dem Archiv von BerlinBerlin . Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks