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dc.contributor.authorOvergoor, G
dc.contributor.authorChica Serrano, Manuel 
dc.contributor.authorRand, William
dc.contributor.authorWeishampel, A
dc.date.accessioned2024-11-22T08:45:51Z
dc.date.available2024-11-22T08:45:51Z
dc.date.issued2019
dc.identifier.citationCalifornia Management Review 1-30 2019es_ES
dc.identifier.urihttps://hdl.handle.net/10481/97249
dc.description.abstractArtificial intelligence (AI) has proven to be useful in many applications from automating cars to providing customer service responses. However, though many firms want to take advantage of AI to improve marketing, they lack a process by which to execute a Marketing AI project. This article discusses the use of AI to provide support for marketing decisions. Based on the established Cross-Industry Standard Process for Data Mining (CRISP-DM) framework, it creates a process for managers to use when executing a Marketing AI project and discusses issues that might arise. It explores how this framework was used to develop three cutting-edge Marketing AI applications.
dc.language.isoenges_ES
dc.titleLetting the Computers Take Over: Using AI to Solve Marketing Problemses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doihttps://doi.org/10.1177/0008125619859318


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