
Maximilian Werner
Articles
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2 months ago |
spiegel.de | Fabian Schmid |Maximilian Werner |Wolf Wiedmann-Schmidt
Freier Zugriff auf alle S+-Artikel auf SPIEGEL.de und in der AppWöchentlich die digitale Ausgabe des SPIEGEL inkl. E-Paper (PDF), Digital-Archiv und S+-Newsletter52 Wochen rabattierte Laufzeit
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Jan 16, 2025 |
mindingthecampus.org | Maximilian Werner
“Like a mutating virus, racism shape-shifts in order to stay alive; when its explicit expression becomes taboo, it hides in coded language.” — Kathy WaldmanIn 2024, several states, including Idaho, Utah, Iowa, North Dakota, and Arizona, passed laws prohibiting public universities from using “diversity, equity, and inclusion” (DEI) statements as part of the hiring process. At least five other states have proposed similar legislation, and more are expected in the coming year.
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Nov 25, 2024 |
www1.wdr.de | Maximilian Werner
Stand: 25.11.2024, 18:26 UhrIn Gelsenkirchen endete ein Streit um Knöllchen vor Gericht. Anwohner wollten nicht zahlen. Nun gab es einen Kompromiss. Fast zehn Jahre ging es gut. Anwohner der Gelsenkirchener Innenstadt haben jahrelang vor ihrer Haustür geparkt und niemanden hatte es gestört. Doch plötzlich hagelte es Knöllchen, weil die Stadt sagte, sie dürften dort nicht stehen. Im Kern geht es um vier Parkplätze. Sie gehören zum "Anwohner-Parkbereich S".
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Oct 16, 2024 |
tribunecontentagency.com | José Parra-Moyano |Karl Schmedders |Maximilian Werner
José Parra-Moyano is a professor of digital strategy at the International Institute for Management Development (IMD) in Lausanne, Switzerland. Karl Schmedders is a professor of finance at IMD in Lausanne. Maximilian Werner is an associate director and research fellow with IMD’s Venture Asset Management initiative in Lausanne. Nowadays, deploying artificial intelligence no longer guarantees a competitive edge.
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Oct 16, 2024 |
sloanreview.mit.edu | José Parra-Moyano |Karl Schmedders |Maximilian Werner
Sam Falconer/theispot.comNowadays, deploying artificial intelligence no longer guarantees a competitive edge. What truly sets companies apart is access to diverse, extensive, high-quality data that enhances their AI system’s performance compared with that of their competitors. But concerns over data privacy can limit the use of unique, relevant data for analysis. This problem can be alleviated by means of privacy-preserving federated learning.
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