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The latest trends in AI for ATS - 2024

The latest trends in AI for ATS - 2024

Artificial intelligence (AI) has had a profound impact on a variety of sectors, and the recruitment field is no exception. Thanks to advances in AI technologies, candidate search, selection and management have become more efficient and accurate. In this article, we'll take a look at the latest trends in AI for ATS software.

  • Workflows and workflow automation

In the field of human resources and personnel management, workflows, which automate routine and repetitive departmental processes, have made their appearance in recent years.
 
 

  • Retraining and upgrading skills

Currently, the major focus is on developing employees' internal skills, which is emerging as one of the central themes in human resources for the year 2024. This trend is aimed at offering retraining opportunities in line with the positions, missions or responsibilities for each member of the organization. The aim is to update skills, facilitate professional retraining and keep in-house talent up to date to promote company growth. ATS software will be used to offer training tailored to the profiles concerned, with the possibility of customizing training resources to the maximum thanks to the diversity of subjects available and formats proposed.  
 
 

  • Data before decision-making

The use of ATS to analyze data in order to make decisions will undoubtedly be the main trend for AI recruitment in 2024. Corporate recruitment strategies need to be aligned with objective, measurable and analyzable data and information. Digitizing the process of collecting, interpreting and visualizing data linked to objectives and results, with the generation of reports for HR, is an indispensable strategic advantage.
 
 

  • Intelligent sourcing and screening

Machine Learning algorithms can match candidates to jobs. What's more, with each open position attracting hundreds of applicants, recruiters and hiring managers are inundated with applications they can't review in a given time. AI-powered chatbots and video screening tools can help increase the number of qualified candidates who move on to the next stage of the hiring process.
 
 

  • Reducing bias with AI

Unconscious bias is perhaps one of the most common and difficult obstacles to overcoming in quality recruitment. Through decision-making based on machine learning algorithms and insights, artificial intelligence recruiting can help eliminate these biases, creating a more objective and fair hiring process.
 
 

  • Predictive recruitment thanks to predictive analytics

Predictive analytics has revolutionized the field of recruitment, enabling HR experts to forecast talent needs. Applicant tracking systems using artificial intelligence can now anticipate a candidate's success based on models developed from historical recruitment data. This approach reduces the time needed to identify the most suitable candidates, while enhancing the quality of hires.
 
 

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