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SUMMARY:Practical Application of Azure AI Services in Research Settings
DTSTART:20260529T100000Z
DTEND:20260529T120000Z
DTSTAMP:20260505T093300Z
UID:indico-event-2140@events.geant.org
DESCRIPTION:This module explores integrating prebuilt Azure AI Services in
 to research workflows for tasks such as text analysis and image comprehens
 ion. Illustrative use cases emphasise the appropriateness and constraints 
 of these services\, examining instances where they enhance research and si
 tuations that require bespoke methodologies or more rigorous validation to
  uphold scientific integrity.\nParticipants work through practical scenari
 os: extracting entities and sentiment from research text\, building search
 able knowledge bases from document collections\, processing instrument log
 s and field data sheets at scale\, and detecting PII in human-subjects dat
 a. Each capability is framed within the context of research methodology - 
 when pre-built services are sufficient and when custom approaches are warr
 anted.\nThis module serves as an application-focused extension to the work
 shop series\, connecting core cloud literacy with everyday research practi
 ces while highlighting scientific rigour\, reproducibility\, and ethical u
 se of AI.\nLearning Outcomes                       
                                      
                \n\nIdentify which Azure AI Services apply to
  common research data processing tasks \nApply text analytics (sentiment\,
  entities\, key phrases\, PII detection) to research text data\nDesign a k
 nowledge mining pipeline that makes research document collections searchab
 le\nUse Content Understanding and Document Intelligence to extract structu
 red data from unstructured research documents\nDescribe how multimodal AI 
 capabilities can process diverse research data types\n Integrate AI Servi
 ces outputs with the Fabric data platform for downstream analysis\n\n\nhtt
 ps://events.geant.org/event/2140/
URL:https://events.geant.org/event/2140/
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