PyData Nights Vol.3 ML Models in Production

Hallo Münchners,

We are back to future once again!

We would like to invite you to our meetup with two exciting talks at a very cool location, for which we want to thank Macromedia University for hosting us this evening & sponsoring the refreshments.

This event is brought to you in collaboration with the Munich🥨NLP community. Join their Discord to discuss the latest developments and also stimulate exchange on research and innovation around NLP.

Hurry up we have limited spots and see you on the other side.

Best,
Muhtasham and Nithish

=== Agenda ===
18:00 - Doors open
18:30 - Welcome and Introduction
18:40 - Talk 1: Lessons learned from setting up a MLOps pipeline by
by Eric Joachim Liese (BSH) and Prof. Dr. René Brunner (Macromedia Hochschule, Datamics GmbH)
19:30 - [Break] Networking and refreshment
19:40 - Talk 2: ML Model Monitoring by Alon Gubkin (Aporia), Saumya Goyal (Datamics GmbH)
20:30 - Networking time

=== Talks ===

Speaker: Eric Joachim Liese (BSH), Prof. Dr. René Brunner (Macromedia Hochschule, Datamics GmbH)
Title: Lessons learned from setting up a MLOps pipeline

Abstract: Many companies are already using machine learning and artificial intelligence algorithms. However, the decisive factors are not only to train the best fitting model but the time to value of the models is crucial. To improve the time to value consistently, an end-to-end MLOps process that is required to train, test, deploy, run, and monitor ML models is essential for a company's success. This pipeline also should consider governance and security aspects. Building such a MLOps pipeline is a complex journey as the process consists of integration and choosing many different tools of a machine learning live cycle. It also requires the expertise of a combination of different stakeholder such as DevOps, Data Engineering and Data Science. This talk gives an insight of lessons learned by industry projects to efficiently setting up a complete ML and AI end-to-end pipeline to provide and maintain fast and accurate predictions.

Note: The event will be recorded & streamed