Like all other facets of modern business, technology is also changing the way we work. This applies to all departments in the organization and HR is no exception. From mobility to cloud computing, big data, blockchain technology, VR and augmented reality, Internet of Things” (IoT) and a variety of developing technologies are now finding their way into the more progressive HR departments of many organizations.
One technology that is presently making significant developments in streamlining and simplifying the functions of HR is machine learning. The technology is not new but its applications for human resources have only lately begun to gain momentum, and they are already making a substantial impact.
Machine learning can competently handle the following:
- Streamlining HR operation such as interviews, group meetings, performance appraisals, and a host of other general HR tasks.
- Analytics and reporting on related HR data
- Streamlining workflows
- Enhance recruitment procedures
- Decreasing staff-turnover
- Personalize training
- Gauge and manage engagement
- Improve rewards and recognition programs
As machine learning acquires a
deeper understanding of the organization and has absorbed all significant
information, machine learning will be able to:
- Recognize knowledge gaps or shortcomings in training
- Personalize training to make it more relevant for the employee
- Help in performance reviews
- A track, guide and improve employee growth and development
Insights from data
HR collects massive amounts of data on all aspects of worker activity, but without some kind of machine learning to digest and evaluate this information and provide usable reports, it will be almost impossible to recognize essential trends, opportunities, and threats. The data needs to give meaningful insights, and machine learning can do this.
Machine Learning Applications in HR
Automation of workflows
It was one of the primary application of machine learning in HR. Scheduling is usually a time-consuming and tedious task. Whether it is improving onboarding, scheduling interviews, performance reviews, testing, training, and managing the repetitive HR queries, machine learning can reduce most of this dreary work for HR.
This will simplify the process and provide the HR department more time to concentrate on the “bigger issues” at hand.
Attracting top talent
A variety of machine learning applications are already being employed by many organizations to improve their probabilities of attracting the right recruits. Organizations like Glassdoor and LinkedIn have efficiently used machine learning to limit searches and seek outright candidates based on advanced smart algorithms.
Another machine learning- enabled application used to draw top talent is software created by PhenomPeople. It uses keywords to seek out candidates on many social media sites and job platforms.
Greater accuracy in recruiting
One of the most significant yet exceptionally time-consuming tasks of HR is recruiting. Appropriately implemented machine learning technologies can save a lot of time through the use of predictive analysis to decrease time wasting in hiring and make the process more accurate.
Machine learning can help HR in handling the recruitment process from scratch to finish. It will simplify the process, decrease errors and improve results. Though the human element is still necessary to get a feel for the aspirant, machine learning will offer accurate and functional analytics to enhance the effectiveness of recruitment. On the other hand, it will also remove human bias that could be hampering your organization from recruiting suitable candidates.
Unilever, an FMCG giant, uses machine learning platforms to screen the massive amount of job applications they receive. Aspirants have to clear three rounds of machine learning based assessments before actually meeting a human for the final interview. The outcome was a saving of more than 50,000 hours spent on hiring.
Forward planning and improvements
Machine learning can better comprehend the data to give practical insights that will assist HR with predicting communication issues, project progress, turnover trends, employee engagement and a host of other vital developments and issues. This will allow them to gain a prompt awareness of any problems and take corrective measure before these problems become significant issues.
Attrition Detection and understanding
Finding and hiring the right talent is an essential function of HR. Retaining the hired employees rests on more than just the HR department; however, it is vital for them to predict and manage attrition rates.
Machine learning is able to offer valuable insights into these aspects allowing HR to deal with this more efficiently and quickly.
The prediction functionality will allow them to plan in advance before they face skill gaps. More notably, by comprehending the data around employee turnover, they will also be in a better position to take corrective measure and make the required changes to minimize the problem.
HR analytics training online from a top quality institution can help HR professionals in making a better hiring decision. Quality institutions have state-of-the-art resources to facilitate students’ learning.
