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October 28-29, 2024 | Tokyo, Japan
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Note: The schedule is subject to change.

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Monday October 28, 2024 17:30 - 18:10 JST
AGL's delivery process is the finest and most mature example in the open of a complex automotive software-defined production system. This presentation explores the AGL's delivery process through an analysis of basic flow metrics, attendees will gain an understanding of its performance and its evolution over time. As automotive companies balance internal software development requirements with working in the upstream AGL project, we offer a data-first approach to help align those efforts. The session dissects the fundamental principles of advanced data analytics applied to the production of software-defined products, using AGL's delivery process as a case study. Attendees will gain insights into leveraging analytics for optimizing software delivery in their respective domains. Additionally, practical strategies will be offered for translating the concepts, metrics, and methodologies, into actionable plans for adoption within automotive corporations. Finally, the speakers will provide hints about those open source development and delivery practices that can increase delivery performance in commercial environments, based on the analysis described in this talk.
Speakers
avatar for Agustin Benito Bethencourt

Agustin Benito Bethencourt

Independent Consultant, Toscalix
Business Intelligence applied to the production of software-defined products. Agustín has guided organizations throughout the life cycle of OSS based products and services cross-markets. As an independent consultant, he is focused on helping organizations in two ways: applying advanced... Read More →
avatar for Daniel Izquierdo

Daniel Izquierdo

CEO, Bitergia
Daniel Izquierdo is a researcher and co-founder of Bitergia and currently holding the position of CEO, he is focused on the quality of the data, research of new metrics, analysis and studies of interest for Bitergia customers via data mining and processing. Daniel earned a PhD in... Read More →
Monday October 28, 2024 17:30 - 18:10 JST
Hall B (3)

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