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Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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Claim

Boosting AI Workflows - Wie KI-Anwendungen von effektiven Forschungsdatenmanagement profitieren können

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 26 Jun 2024 German Publisher:Zenodo
Authors: Mothes, Oliver;

doi: 10.5281/zenodo.12548282 , 10.5281/zenodo.12548281

Boosting AI Workflows - Wie KI-Anwendungen von effektiven Forschungsdatenmanagement profitieren können

Abstract

Folien zum Vortrag „Boosting AI Workflows - Wie KI-Anwendungen von effektiven Forschungsdatenmanagement profitieren können“ im Rahmen der 6. Thüringer FDM-Tage vom 18.-19. Juni 2024, ausgerichtet vom Thüringer Kompetenznetzwerk Forschungsdatenmanagement (TKFDM). Links zu allen weiteren Materialien finden sie auf der Webseite des TKFDM: https://forschungsdaten-thueringen.de/material-veranstaltungen.html Die Aufzeichnung dieses Vortrags finden Sie hier: https://youtu.be/zEBboll1Q0E English: Slides of the presentation " Boosting AI Workflows - Wie KI-Anwendungen von effektiven Forschungsdatenmanagement profitieren können." as part of the 6th Thuringian RDM Days from June 18-19, 2024, hosted by the Thuringian Competence Network Research Data Management (TKFDM). Links to all other materials can be found on the TKFDM website: https://forschungsdaten-thueringen.de/material-veranstaltungen.html The recording of the presentation can be found here: https://youtu.be/zEBboll1Q0E

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Keywords

KI, AI, Künstliche Intelligenz, RDM, AI Workflows, Forschungsdatenmanagement, FDM-Tage 2024, Workflows

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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