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AIRE SIGNED

AIRE_ Artificial Intelligence for Recruiting Europe +

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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Project "AIRE" data sheet

The following table provides information about the project.

Coordinator
BUSINESS POINT INTELLIGENCE SOLUTIONS LIMITED 

Organization address
address: 7A BUTTERFIELD GROVE
city: DUBLIN
postcode: 14
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Ireland [IE]
 Total cost 98˙750 €
 EC max contribution 98˙750 € (100%)
 Programme 1. H2020-EU.2.3.2.2. (Enhancing the innovation capacity of SMEs)
 Code Call H2020-INNOSUP-2019-02
 Funding Scheme CSA
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BUSINESS POINT INTELLIGENCE SOLUTIONS LIMITED IE (DUBLIN) coordinator 98˙750.00

Map

 Project objective

The digital age has permeated our daily lives. The data we consume and create results in analytic processes informing how we work, eat, play, live. Companies need to understand, analyse and develop their Human Capital to remain competitive and future proofed.

Present technology is not serving the market effectively. CVs have long outstayed their use for employers and overburden HR systems. EU citizens need to be able to assess their skills versus a changing job market to keep pace; putting them in the best position to successfully be hired.

Our innovative approach to solving the bottleneck between jobseekers and job vacancies sets us apart. Our disruptive platform, AIRE, uses AI & Machine Learning to accurately and without bias, match candidates to roles, identify skills gaps for candidates and enable employees to keep their skills relevant in an ever-evolving job market.

Our vision will create a scalable solution to empower EU citizens to maximise their career potential. In line with our growth strategy, Allsorter is looking to employ an innovation associate to help us achieve the above goal. The post will be influenced from the domains of textual mining, machine learning and crowdsourcing. This field is novel precisely because it attempts to combine a longstanding promise of AI to improve the quality of hiring, which ability is focused around the use of data to standardize the matching between candidates’ experience, knowledge skills and the job requirements. This improvement in the job matching mechanism will utilize innovative computational methodologies for processing, improving, and disseminating employability patterns.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "AIRE" project.

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Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

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The information about "AIRE" are provided by the European Opendata Portal: CORDIS opendata.

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