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SEMLA 2021

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SEMLA 2021 conference of June 22nd

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Continuous Delivery for Machine Learning

Speakers: Arif Wider, professor of software engineering at HTW Berlin and a principal technology consultant with ThoughtWorks Germany and Danilo Sato, Head of Data & AI Services at ThoughtWorks UK

Abstract

Machine Learning applications are becoming popular in our industry, however the process for developing, deploying, and continuously improving them is more complex compared to more traditional software, such as a web service or a mobile application. Continuous Delivery for Machine Learning (CD4ML) is the discipline of bringing Continuous Delivery principles and practices to Machine Learning applications. In this talk we will share our industry experiences implementing CD4ML, introduce its technical components, and explore what future challenges need to be solved.

Presentation and slides in English

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Biography of the speakers

Arif Wider is a professor of software engineering at HTW Berlin and a principal technology consultant with ThoughtWorks Germany, where he served as Head of Data & AI before moving back to academia. As a vital part of research, teaching, and consulting, he is passionate about distilling and distributing great ideas and concepts that emerge in the software engineering community. Arif is a frequent speaker at conferences and loves to bring together people with diverse areas of expertise such as data scientists and developers.

Danilo Sato is the Head of Data & AI Services at ThoughtWorks UK. His 20 years technology career combines experiences leading accounts and teams with a breadth of technical expertise in many areas of architecture and engineering: software, data, infrastructure, and machine learning. He is the author of DevOps in Practices: Reliable and Automated Software Delivery, a member of ThoughtWorks' Technology Advisory Board and Office of the CTO, and is an experienced international conference speaker.

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