The Conference for Machine Learning Innovation

Continuous Delivery for Machine Learning Applications with Open Source Tools

Session
Join the ML Revolution!
Register until September 10:
✓ Raspberry Pi or C64 Mini for free
✓Save up to 313 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until September 10:
✓ Raspberry Pi or C64 Mini for free
✓Save up to 313 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until July 2:
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $310
✓ 10% team discount
Register Now
Join the ML Revolution!
Register until July 2:
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $310
✓ 10% team discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Infos
Tuesday, December 10 2019
10:15 - 11:00
Room:
Salon 1

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 belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

Behind the Tracks