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Master thesis . 2024
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Master thesis . 2024
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Employing AI to create actionable insights about a business case study in an industrial equipment supplier

descriptionPublicationkeyboard_double_arrow_right Master thesis 01 Jan 2024 English Publisher:Universitat Politècnica de Catalunya
Authors: Mata Carreras, Laura;

handle: 2117/428360

Employing AI to create actionable insights about a business case study in an industrial equipment supplier

Abstract

Artificial Intelligence is revolutionizing numerous industries by offering advanced capabilities to process and analyze vast amounts of data, automate tasks, and make informed decisions. As it is used to make our lives easier, this special project is going to be about employing AI to make better decisions for an Equipment Supplier company. The objectives for this project are going to be researching about the Equipment Supplying industry in the US and the impact of AI on business, familiarizing with the company and their methods, identifying their problematics, identifying a suitable AI solution for them, implementing it, getting conclusions and, lastly, gathering feedback from the employees

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Keywords

Decision-making -- Data processing, Decisió, Presa de -- Informàtica, Àrees temàtiques de la UPC::Economia i organització d'empreses, Intel·ligència artificial -- Aplicacions industrials, Artificial intelligence -- Industrial applications

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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
Green