Titre : | Smart Company, Entreprise Level Problem Solving Through AI, Skill Requirement management: CV indexing and analysis | Type de document : | projet fin études | Auteurs : | Alaoui Ismaili Soukaina, Auteur | Langues : | Français (fre) | Catégories : | BIG DATA
| Mots-clés : | Natural Language Processing, CV Parsing, Machine learning, Enterprise
Resource Planning, Information Retrieval, Regular Expression, Electronic Document
Management, Named Entity Recognition | Index. décimale : | mast 268/19 | Résumé : | Smart business, Big data or articial intelligence are all terminologies that refer to
the application of modern and powerful technologies to process business-specic data.
This treatment is done automatically and far exceeds the eciency and accuracy achieved
by a human brain.
From the production chain to customer relations, logistics and human resources, arti-
cial intelligence invests companies. Combined with other technologies, the AI provides
a 360 ° view of customers, delivers predictive analytics, or provides contextualized answers
by drawing on all the data, structured or not. Today many leaders are attracted
to AI and want to know how this technology can help them transform their industry,
automate some of their processes, or help them increase their productivity and relevance,
because "If a recruiter can process 100 CV in one hour, articial intelligence can
treat a million in a few seconds with a much more rigorous, illustrates Jérémy Lamri,
founder of LAB RH, as long as the criteria are well determined."
For this purpose, rst, a presentation of the context of the project and the problematic
in question is necessary in the rst chapter. Second, the second chapter includes the
state of knowledge, the various achievements and work in progress in this area, that
is, articial intelligence in business applied to several areas such as human resources
that uses AI in several applications among them we nd the CV analysis which will
be more detailed in the following chapter explaining the method proposed with the
dierent technologies and algorithms used while indicating the steps followed. And
nally, in the last chapter, presented the objectives and results achieved, presenting
the proposed perspectives for the continuation of the project in the future.
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Smart Company, Entreprise Level Problem Solving Through AI, Skill Requirement management: CV indexing and analysis [projet fin études] / Alaoui Ismaili Soukaina, Auteur . - [s.d.]. Langues : Français ( fre) Catégories : | BIG DATA
| Mots-clés : | Natural Language Processing, CV Parsing, Machine learning, Enterprise
Resource Planning, Information Retrieval, Regular Expression, Electronic Document
Management, Named Entity Recognition | Index. décimale : | mast 268/19 | Résumé : | Smart business, Big data or articial intelligence are all terminologies that refer to
the application of modern and powerful technologies to process business-specic data.
This treatment is done automatically and far exceeds the eciency and accuracy achieved
by a human brain.
From the production chain to customer relations, logistics and human resources, arti-
cial intelligence invests companies. Combined with other technologies, the AI provides
a 360 ° view of customers, delivers predictive analytics, or provides contextualized answers
by drawing on all the data, structured or not. Today many leaders are attracted
to AI and want to know how this technology can help them transform their industry,
automate some of their processes, or help them increase their productivity and relevance,
because "If a recruiter can process 100 CV in one hour, articial intelligence can
treat a million in a few seconds with a much more rigorous, illustrates Jérémy Lamri,
founder of LAB RH, as long as the criteria are well determined."
For this purpose, rst, a presentation of the context of the project and the problematic
in question is necessary in the rst chapter. Second, the second chapter includes the
state of knowledge, the various achievements and work in progress in this area, that
is, articial intelligence in business applied to several areas such as human resources
that uses AI in several applications among them we nd the CV analysis which will
be more detailed in the following chapter explaining the method proposed with the
dierent technologies and algorithms used while indicating the steps followed. And
nally, in the last chapter, presented the objectives and results achieved, presenting
the proposed perspectives for the continuation of the project in the future.
|
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