dc.contributor.advisor | SARANCIUC, Dorian | |
dc.contributor.author | CARAUS, Arina | |
dc.date.accessioned | 2024-10-09T10:32:28Z | |
dc.date.available | 2024-10-09T10:32:28Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | CARAUS, Arina. Analysis of AI databases. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = Technical Scientific Conference of Undergraduate, Master and PhD Students, Universitatea Tehnică a Moldovei, 27-29 martie 2024. Chișinău, 2024, vol. 1, pp. 602-606. ISBN 978-9975-64-458-7. ISBN 978 9975-64-459-4 (Vol.1). | en_US |
dc.identifier.isbn | 978-9975-64-458-7 | |
dc.identifier.isbn | 978 9975-64-459-4 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/27932 | |
dc.description.abstract | Nowadays, data is money. Business operations and success rely on the ability to get really important information from databases.That way they can strategize to get changes in real time, allowing them to optimize processes, reduce delays and manage assets efficiently. The solution used by enterprises is artificial intelligence databases, which can analyze vast streams of data that can be leveraged to open up deep business opportunities. In this article, AI databases(DB) are analyzed through the business point of view with the goal to let people understand where these technologies can be used and where not. Firstly, the key characteristics of AI DB are enumerated. Secondly, the workflow of the different databases are described, to bring a more open view on the theme and to let people carry out a rational analysis of the opportunities offered by both databases . The decision of choosing the database should be made depending on the specific goals and needs of the business, not on hype. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universitatea Tehnică a Moldovei | en_US |
dc.relation.ispartofseries | Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = Technical Scientific Conference of Undergraduate, Master and PhD Students: Chişinău, 27-29 martie 2024. Vol. 1; | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | data | en_US |
dc.subject | vector database | en_US |
dc.subject | business | en_US |
dc.title | Analysis of AI databases | en_US |
dc.type | Article | en_US |
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