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LAST-MODIFIED:20260119T222047Z
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DTSTAMP:20260514T011248
DTSTART;TZID=Europe/Berlin:20240917T180000
DTEND;TZID=Europe/Berlin:20240917T193000
SUMMARY:Community Workshop: Success Factors for Data Science Projects
LOCATION:Online
DESCRIPTION:Join us for this workshop that sheds light on the success fact
 ors for data science projects!\n\n\\*with Mira Céline Klein\\*\nFrom proo
 f of concept that finally ends up in the drawer forever to long-running pr
 ojects that are continuously developed even after years and are used inten
 sively by our customers - experiences with data science projects are diver
 se. But what does "successful" actually mean? The workshop of Mira Céline
  Klein will shed light on the success factors for data science projects:\n
 \\* Types of customers\n\\* Data Maturity scale\n\\* Prerequisites for dif
 ferent types of projects (e.g.\, Dashboard\, Machine Learning\, AI)\n\\* W
 hat is a good use case?\n\\* Challenges in the public sector\nOur workshop
 s in the “Community Workshops” series are targeted towards a broad aud
 ience and are open to anyone who is interested in the topic!\n\nRegistrati
 on: https://ee.correlaid.org/single/QfMeNFBR?return_url=https://www.correl
 aid.org\n\nView more at: https://correlaid.org/veranstaltungen/community-w
 orkshop-projectsuccess
URL;VALUE=URI:https://correlaid.org/veranstaltungen/community-workshop-pro
 jectsuccess
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