Technology is constantly changing how industries operate. Adding AI frees time for working professionals to undertake other essential operations. Here is how machine learning and artificial intelligence in human resource management are scaling processes.
What Is Machine Learning?
Machine learning (ML) is a part of AI that utilizes multiple algorithms and data to help a computer learn and predict outcomes. ML scans through large quantities of data to allow it to become more intelligent and to make assumptions with better accuracy.
It has the capability to bring many advantages to different industries, allowing them to operate more effectively. However, as with any technology or tool, proper research is necessary to ensure the organization has weighed all the considerations — such as managing features and training — appropriately.
Ways to Use Machine Learning in HR to Scale
When HR teams add ML and AI to daily operations, they can assign more time to tasks that carry significant weight, thus improving HR processes and efficiency. In addition, they are better equipped to help the organization reach its company goals. Here are a few areas where machine learning and artificial intelligence could streamline HR tasks as they increase.
1. The Hiring Process
AI technology could help find and hire new employees throughout the recruiting process. Talent acquisition can take a lot of time and use valuable company resources. Utilizing machine learning can free up some of the time HR spends recruiting and allow them to prioritize other vital tasks.
This technology can help create job listings and descriptions to attract high-performing candidates. Regarding the people that apply for the role, it can also scan through all the applicants to determine the best fit for the business. This allows for a more efficient approach to finding the right applicant.
In addition to using machine learning in HR to shortlist the best candidates, chatbots could help with the hiring process. They can answer applicants’ questions about the job and schedule interviews. These HR chatbots assist the candidate throughout the hiring process, making it easier for HR teams.
2. Onboarding New Employees
Machine learning and AI technology provide a smoother and more holistic onboarding process. Many time-consuming tasks are automated when ML is in the mix. For example, chatbots could automatically request the candidate fill in specific documents, and help HR teams complete tax forms or other paperwork. This reduces the chance of mistakes occurring due to human error and helps the process run more efficiently, saving time.
One of the best things machine learning can do is create a more personalized experience for each employee. By analyzing the new hire’s previous experience, ML can create employee onboarding programs designed explicitly for them. This helps the new worker adjust to their position quicker.
Machine learning can also analyze the employee’s performance to provide feedback, helping them grow in their role more effectively. Based on the inputs of new employees, AI can create all the necessary accounts and profiles they will require for their position.
Chatbots can answer questions and assist if the employee has work-related difficulties. For example, AI can aid the worker with getting set up with the company’s network if they are having trouble.
HR teams can encourage hires to provide feedback to AI systems that can help them create more efficient processes. Workers can say what they are struggling with and feel needs improvement. Based on these inputs, machine learning can aid with adjusting the process to make onboarding even more straightforward for future hires. It’s worth mentioning organizations with a robust onboarding process increase new-hire retention by 82% and improve productivity by seventy percent.
3. Training Employees and Career Mapping
In terms of training employees, ML and AI can play a huge role in improving the process. Machine learning can scan details about the worker’s role and performance, and provide feedback on areas of improvement. This allows the employee to have a more personal experience while also knowing what critical points they should focus on next.
Another advantage of machine learning in HR is it allows management to identify other employees who can benefit from training courses. For example, ML can analyze training statistics to determine if any staff members might have gaps in their knowledge. This way, they can get up to speed, making employees feel more comfortable and proficient in their role.
ML scanning through training analytics provides other advantages as well. This AI technology can also identify if workers are more suited to different positions, allowing HR to make the necessary adjustments.
In other words, ML analyzing employee skills, performance, experience and training analytics opens up more opportunities for the worker. This means staff members have a more laid-out career path to follow.
3 Benefits Machine Learning Provides to HR Teams
Artificial intelligence in human resource management has many associated benefits that aid with improving HR processes. Here are the three top benefits of artificial intelligence and machine learning in daily human resource management operations.
1. Automates Repetitive HR Processes and Tasks
Automating repetitive and time-consuming tasks is one of the most significant advantages of AI in the workspace. With this technology, operations such as scheduling interviews, employee attendance, filling out worker-related paperwork, administering benefits and providing payroll happen automatically.
With many of these tasks no longer on the daily to-do list for management, HR can focus their time on other valuable operations. In addition, AI allows HR teams to make more data-driven decisions that help push the organization forward.
2. Increases Employee Retention
One issue that plagues many organizations is employee retention — a struggle that looks like it will be around for a while. In 2021, more than 47 million people left their jobs and 2022 was even worse, with over 50 million workers quitting.
However, ML can help with lowering the employee turnover rate. This happens by providing employees with a smooth onboarding process, mapping their career paths with new opportunities and creating a more personal experience.
In addition, machine learning can identify employees with the highest attrition rate — workers who are most likely to leave their job — which allows businesses to prepare accordingly. AI technology can calculate the staff attrition rate by analyzing worker data, quitting predictors and employee behavior.
3. Improves the Effectiveness of the Hiring and Onboarding Process
Machine learning can create job listings that specifically target the highest-performing candidates. Also, it can determine which applicant will fit best with the company and schedule interviews. Chatbots also assist in answering important candidate questions.
All of this occurs automatically, which saves time for management teams. Machine learning in HR assists teams in guiding the candidate through hiring procedures. With many of the tasks automated in the hiring process, there is an overall increase in efficiency and effectiveness.
Artificial Intelligence in Human Resource Management
When looking at all these advantages, it is clear machine learning plays a vital role in improving HR processes. When organizations incorporate this technology, management teams are better equipped for daily operations. All this combined with a holistic approach allows HR employees to make more effective decisions that propel the organization forward.