Technology

Smart Casting Engine

To get the right person in the right place at the right time, you have to take into account a lot of factors, from the operational to the human: budget, availability, geographic proximity, technical skills, interpersonal skills, preferences for professional growth, complementary skills within a team, fit with corporate culture, and more.

For this reason, we’ve created a smart Casting Engine that constantly learns from previous results and looks for the best balance between overall performance and individual interests. It relies on a blend of many technologies:

  • Machine learning algorithms

  • Specialization for contextual search for similar profiles and positions

  • Engine using optimization rules and algorithms with restrictions

Interactive mapping of your organization’s skills

Advanced interactive visualization techniques allow you to compare, filter, zoom in on, and explore data. These techniques reveal trends, patterns, and relationships within the data sets. They transform data into lessons learned, thus helping you make informed decisions.

We use the latest data visualization technologies to offer interactive graphs and dynamic dashboards: DC.js, vis.js, leaflet, and D3.js.

These technologies are applied to numerous data sets, including dynamic information on skills and careers, psychometric profiles, skill needs, the skills within your professional network, and market trends. They are then able to generate an interactive map of the skills within your organization and ecosystem.

Market trends and predictive analysis

Our bots continuously capture data from the web related to skills and careers. Their analysis informs you of trends for skills and experience observed in the job market:the rise of new skills, the emergence of certain positions, the decline of others, career paths, the transformation of careers, etc. These data can, of course, be explored by industry, by local job market, or even by company.

Are you familiar with your clients’ recruitment strategies? What about your competitors’ strategies? What skills are they looking for? The answers to these questions offer a gold mine of information and opportunities.

On top of this analysis of your market and employees, we add the power of artificial intelligence to anticipate and predict where they’re headed. Our predictive engine evaluates the employability of employees, their training needs, and the risk that they’ll leave.

A dynamic database of skills and careers

Our bots constantly capture resumes, job offers, and training catalogues available on the web. These data are analyzed by our semantic engine to extract jobs and skills to update our reference database in real time to keep up with the market.

The engine then groups skills into macro-skills and jobs into domains so that the data can be analyzed on multiple levels.

Finally, the semantic matching engine finds matches and brings together in a single dynamic reference database:

  • skills and jobs found in the job and training markets,

  • standard references (ESCO, ROME, O*NET),

  • and company references.

To achieve this, we use the latest AI technologies:

  • Word2Vec (lexical extension) algorithms developed by Google

  • fastText (text classification) algorithms developed by Facebook

  • Clustering (classification and grouping) algorithms

  • Specialized algorithms for analyzing and matching skills and positions

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Christine a travaillé plus de 12 ans dans l’édition de logiciels et a développé une forte appétence pour la culture des données et la connaissance client. D’un bon relationnel, elle apprécie être au contact des autres et apporter le soutien nécessaire en vue de leur satisfaction.

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Christine a travaillé plus de 12 ans dans l’édition de logiciels et a développé une forte appétence pour la culture des données et la connaissance client. D’un bon relationnel, elle apprécie être au contact des autres et apporter le soutien nécessaire en vue de leur satisfaction.