Machine learning can prove to be a boon to get over these constraints and focus on getting the right talent quick and fast. Here is a look at five new-age AI applications in the field of talent acquisition.
- Beamery: A customer relationship management software designed for recruitment, it helps enhance the candidate experience by helping build great relationships with candidates. It is built on the AI components, Watson and Sherlock, and has some very interesting features. It recommends the recruiter the best time to reach out to candidates. It also helps prioritize applications. It has inbuilt trigger to help recruiters remember the high quality candidate profiles that they might have saved earlier. This greatly enhances the recruiter’s efficiency and effectiveness.
- HiredScore: This is an automated tool to enable sourcing, screening of candidates. It is designed in a manner so as to prevent bias, and to keep in mind the best interest of the candidates by way of fairness. One of its advantages is that it can be easily integrated into post-hire systems and processes, to enable the recruiter to track recruitment metrics better.
- mRoads: Video interviewing is the way ahead for selection, especially with talent acquisition going highly global. This video interviewing platform is unique because it uses machine learning to review candidate records and identify strange behaviors. For example, if a candidate is looking away from time to time, the system may highlight this as anomalous behavior, prompting the recruiter to explore such behavior.
- Textio: This is an augmented tool that helps recruiters draft more effective job advertisements. It works intelligently by analyzing hordes of existing job ads and hiring outcomes, to identify the more apt words and phrases that recruiters should include in job ads. It thus helps get a better company-candidate match. This intelligent tracking not only enhances the quality of hire, but also enables a faster time-to-fill.
- Randrr: This is a candidate-facing automation technology that helps job seekers look beyond the obvious job boards and scout lesser published opportunities. It also helps in career pathing and planning decisions by providing candidates with insights into potential career paths and opportunities. For example, it may suggest an employee to leave the company and then join back after a different stint, to be able to get his or her dream job.
Artificial intelligence is truly making hiring smarter, both quantitatively and qualitatively. Recruiters and talent acquisition leaders must acquaint themselves with the latest market offerings in these domain, and considering investing in them to make recruitment more strategic.