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AIxB 2024

https://id.confref.org/data/confident/47768

This record is part of the confref event IEEE International Conference on AI x Business.

rdf:typecf:Category_Event
schema:locationLaguna Hills (wd:Q862679)
rdfs:labelAIxB 2024
cf:Academic_Fieldhttps://id.confref.org/data/confident/25686
cf:Academic_Fieldhttps://id.confref.org/data/confident/25716
cf:AcronymAIxB 2024
cf:Camera-Ready_Deadline2024-09-01
cf:CityLaguna Hills
cf:Countryhttps://id.confref.org/data/confident/31086
cf:Country_Missingfalse
cf:Creation_date2024-09-13T10:01:34
cf:DOI10.25798/dj88-0152
cf:Display_TitleAIxB 2024
cf:End_Date2024-10-02
cf:Event_Modehybrid
cf:Event_Statusas scheduled
cf:Has_Metricfalse
cf:Has_subobjecthttps://id.confref.org/data/confident/47768/3b8e2796dcf7cebc14ad7551a4286214
cf:Has_subobjecthttps://id.confref.org/data/confident/47768/3c40c34b9302c1505c83a007a6f4434d
cf:Has_subobjecthttps://id.confref.org/data/confident/47768/69c5f489009d1064580f3c63f2aa15c4
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cf:Has_subobjecthttps://id.confref.org/data/confident/47768/d273a6bf7bcb77d58accbe6490cf267b
cf:HashtagAIxB 2024
cf:In_Event_Serieshttps://id.confref.org/data/confident/47767
cf:Modification_date2025-10-07T07:57:30
cf:Month9
cf:Notification_Deadline2024-08-10
cf:Official_Websitehttps://www.aixb.org/
cf:Ordinal1
cf:Organizer_Missingfalse
cf:Paper_Deadline2024-07-15
cf:RegionCalifornia
cf:Registration_Linkhttp://www.45mins.org/registration/registration_aixb_secure.jsp
cf:Single_Day_Eventno
cf:Start_Date2024-09-30
cf:Start_Date_Missingfalse
cf:Submission_Deadline2024-09-01
cf:Submission_Linkhttps://www.aixb.org/submission
cf:TitleIEEE International Conference on AI x Business
cf:VenueThe Hills Hotel
cf:Year2024
cf:pagehttps://www.confident-conference.org/index.php/Event:3f2db8c6-9627-4fd7-bbb7-2cad5a9037bc
cf:pageTitleEvent:3f2db8c6-9627-4fd7-bbb7-2cad5a9037bc
cr:disciplineartificial intelligence (wd:Q11660)
cr:disciplinebusiness (wd:Q4830453)
cr:fieldComputer and information sciences (https://id.confref.org/data/oecd-fos/1.2)
cr:fieldEconomics and business (https://id.confref.org/data/oecd-fos/5.2)

Data: Turtle · JSON-LD · N-Triples · RDF/XML

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