Review of AI-based marketing approaches

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dc.contributor.advisor Fasano, Giovanni it_IT
dc.contributor.author Quarantotto Vittori, Giovanni <1996> it_IT
dc.date.accessioned 2021-04-10 it_IT
dc.date.accessioned 2021-07-21T07:23:58Z
dc.date.available 2021-07-21T07:23:58Z
dc.date.issued 2021-04-26 it_IT
dc.identifier.uri http://hdl.handle.net/10579/18778
dc.description.abstract Artificial intelligence is the shiny new frontier in marketing. The increasing computational capabilities of computers and algorithms, and the increasing availability of huge volumes of data, may pave the way to new and unexplored venues in the whole marketing sector. Every single piece of the customer journey is going to change, and the process has already started. With big data at the center of my analysis, there are several aspects that I wish to investigate: - What is the current state of the art, regarding AI application in the marketing sector, and what the future may look like a couple years from now - Which are the best options, at firm level, in order to perfectly apply AI to provide a better, more tuned and seamless shopping experience that may be different for every single consumer - Starting from the consumer, the creation of a personal virtual assistant that might help to mitigate the effect of such strong impact at firm level and may guide him/her to the best possible decision even before the prospective customer is aware of the needs the he/she may have - What may be the legal implications at European level in terms of personal privacy and use of personal data? Are these new options worth it if customers will not submit their preferences into these algorithms based devices? it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Giovanni Quarantotto Vittori, 2021 it_IT
dc.title Review of AI-based marketing approaches it_IT
dc.title.alternative Review of AI-based marketing approaches it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Management it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Management it_IT
dc.description.academicyear 2019-2020, sessione straordinaria LM it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 873216 it_IT
dc.subject.miur SECS-P/07 ECONOMIA AZIENDALE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Giovanni Quarantotto Vittori (873216@stud.unive.it), 2021-04-10 it_IT
dc.provenance.plagiarycheck Giovanni Fasano (fasano@unive.it), 2021-04-26 it_IT


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