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Reading: The Role of AI in Recruitment Process and Skilled Staffing
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Lezeto > Blog > Tech > The Role of AI in Recruitment Process and Skilled Staffing
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The Role of AI in Recruitment Process and Skilled Staffing

Cogito
Last updated: 2021/10/18 at 2:21 AM
Cogito Published February 21, 2019
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Machine Learning Data
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Artificial Intelligence (AI) is also becoming a major role player in various fields with interesting outcomes. Human resource and recruitment is one of the fields in which AI can sort, organize and bring about excellent standards in the entire employment process.

The software or AI-based recruitment applications allow the users to recruit the right candidates without any problem. And it is now playing the vital role in recruitment process helping companies to get more intelligent employees as per their profile needs. We bring here how it is playing an important role in recruitment into various fields.

AI

Helps to Shortlist the Right Candidates

When you upload the job opening you will receive the hundreds or thousands or applications, out of which you need to sort list the best one suitable for your company or the profile you are looking for. But AI can scan such resume and sort them as per the alphabets or date of delivery so that you can choose the right one. It will sort list the candidate while considering the qualification and experience necessary for your company.

Can Perform Repetitive Task for Bulk Applications

As the AI is trained with machine learning training data, it can perform the repetitive tasks like recording hours, reviewing curriculum, calculating employees’ salary and many more. AI-enabled applications ensure that whether all the tasks are performed well or not. It will reduce the number of HR persons required to manage such bulk tasks and also allow them to use their time efforts in decision making process.

Improves the Communication and Team Coordination

Any kind of communication gap during the recruitment process can invite the wrong candidates for the interview leads to wasting the time and efforts of the recruiter as well as wastage of company resources. AI-based apps can automatically send messages, Chatbots can respond queries of candidates and can inform them about the suitable timing for interview or joining. While lack of proper communication channel such details missed or incorrectly shared with candidates resulting the unnecessary cost of the company.

machine learning training data

Automation of Recruitment and Joining Process

If recruiters don’t have time for recruitment, you need to make sure plan the recruitment process in the right manner using the AI-based recruitment software. Such automated applications can organize the recruitment and joining process with excellent outcomes. AI-enabled apps can perform actions like reading the curriculum vitae, job posting or replying the candidates etc. This can no doubt help you amazingly to bring the best candidates for your company.

Utilize the Social Media Platforms for Shortlisting

Social media platforms like Facebook, Twitter or LinkedIn are also one the best online platforms to sort list the right candidates for your company. Actually, many people update their all the details on such platforms also mention their area of interest or fields they have specialization to work. AI based applications can search such candidates from these social channels. This will also help you save the cost of company and hire the best candidates as per the needs.

Formulate More Effective Recruitment Strategies

When AI-based applications will ease your recruitment process, you can also involve in more strategic decisions to make the human resource hiring process more interactive and productive. Though, AI-enabled software will also help you using the training data sets by Cogito for analyzing the data related to recruitment like job description, salary package, designation role, HR policies, leave rules and formulate other guidelines favorable for the companies and recruitment firms.

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TAGGED: high quality data for machine learning, machine learning as a service, machine learning data, machine learning datasets, machine learning training data
Cogito February 21, 2019
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