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Update from CMEM
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DataWeek CMEM Update Bot 🤖 committed Feb 12, 2024
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<https://2024.dataweek.de/stadt-leipzig/#programm-talk-57> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://schema.org/Event> .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://purl.org/dc/terms/date> "2024-04-15"^^<http://www.w3.org/2001/XMLSchema#date> .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://purl.org/dc/terms/description> "Die Keynote zur Eröffnung wird den scheinbaren Gegensatz zwischen KI und Nachhaltigkeit hinterfragen und aufzeigen, wie diese beiden Bereiche Hand in Hand gehen können. Unter dem Motto \"Green Data, Green Future: Kann die KI uns retten?\" wird beleuchtet was KI und Nachhaltigkeit gemeinsam haben: Beide benötigen eine belastbare Datengrundlage. Doch wie kann es gelingen diese Datengrundlage bereitzustellen und was muss beachtet werden, wenn KI für Nachhaltigkeit eingesetzt wird? Die These der Keynote: Durch die Verknüpfung von Daten, KI und Nachhaltigkeit eröffnen sich vielfältige Möglichkeiten, um gemeinsam eine lebenswerte Zukunft zu gestalten und einen positiven Beitrag zum Umweltschutz zu leisten. Denn wie das Motto „Menschen vernetzen - Daten nutzen“ der Data Week schon verspricht, sind es Menschen, die den Unterschied machen. Beispiele wie es aussehen kann Verantwortung in der digitalen Welt zu übernehmen, erfahren die Zuhörer*innen dieser Keynote!"@de .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://purl.org/dc/terms/description> "The opening keynote will scrutinise the apparent contradiction between AI and sustainability and show how these two areas can go hand in hand. Under the motto \"Green Data, Green Future: Can AI save us?\", it will highlight what AI and sustainability have in common: Both require a reliable data basis. But how can this data basis be provided and what needs to be considered when AI is used for sustainability? The keynote's thesis: Linking data, AI and sustainability opens up a wide range of opportunities to jointly shape a future worth living and make a positive contribution to environmental protection. After all, as the Data Week motto \"Connecting people - using data\" promises, it is people who make the difference. In this keynote, the audience will hear examples of what it can look like to take responsibility in the digital world!"@en .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://purl.org/dc/terms/title> "Green Data, Green Future: Can AI save us?"@en .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://purl.org/dc/terms/description> "The opening keynote will challenge the apparent opposition between AI and sustainability and show how these two areas can go hand in hand. Under the motto \"Green Data, Green Future: Can AI Save Us?\", it will shed light on what AI and sustainability have in common: Both require a reliable data basis. But how can this data be provided and what needs to be considered when AI is used for sustainability? The thesis of the keynote: Linking data, AI and sustainability opens up a wide range of opportunities to jointly shape a future worth living in and make a positive contribution to environmental protection. Because as the motto \"Connecting people - using data\" of the Data Week promises, it is people who make the difference. The audience of this keynote will learn examples of what it can look like to take on responsibility in the digital world!"@en .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://purl.org/dc/terms/title> "Green Data, Green Future: Can AI Save Us?"@en .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://purl.org/dc/terms/title> "Green Data, Green Future: Kann die KI uns retten?"@de .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://schema.org/endTime> "10:30:00.000"^^<http://www.w3.org/2001/XMLSchema#time> .
<https://2024.dataweek.de/stadt-leipzig/#programm-talk-5> <http://schema.org/performer> <https://dataweek.de/#JolandaGallas> .
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[email protected]:AKSW/leipzig.dataweek.de-model.git
dfcbb5b60bb30726c29e8735503eb11413e81ebf
d85cd633bad622fd28fdb5373f442e05263bb179

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