Project: Solution Method for Distributed Data Quality Management

Enterprises are grappling with increasingly vast amounts of data, where data fuels transformative technologies like machine learning and data-driven products. However, amidst this surge, ensuring data quality has become paramount. Data arrives from myriad sources, in varying structures, and at unprecedented speeds. Maintaining data quality is essential for unlocking the potential of data-driven technologies and data-intensive business models, particularly in distributed environments, where data suppliers and consumers operate independently from the data provider.

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Guest Lecture: Data Analytics at Bosch

On February 8, 2024, Eva Hoos and Corinna Giebler gave a guest lecture at the Universität Stuttgart on #dataanalytics at Bosch. Both are alumni of the Universität Stuttgart and joined Bosch as data analytics architects after completing their PhD. The topic: Data Analytics at Bosch Abstract: After a brief overview of Bosch (vision, values, offerings,…

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November 10, 2023: First Industrial Data Lab Summit

The Industrial Data Lab (IDL) exists for almost a year now.  On November 10, 2023, we celebrated this first year anniversary together as part of the first IDL Summit. It took place on the premises of the IDL at the University of Stuttgart. The agenda (see below) comprised a mix of knowledge sharing, inspiration, and opportunities for socializing & networking.

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Working students at the Industrial Data Lab: refining skills in a real-life environment

Innovation, knowledge exchange, and development of associates and students – these are the goals of the Industrial Data Lab that has been established by Bosch and the University of Stuttgart. It is based on the Technology Partnership Lab Program of the University of Stuttgart and kicked off in October 2022. This cooperation offers students the opportunity to gain practical…

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