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Machine Learning Trends in Human Resources

Machine Learning Trends in Human Resources
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Here’s how machine learning in HR will shape the future of human resources.

Machine learning has changed the processes of many organizations, including HR activities and functions. It can take the shape of one of several specific machine learning algorithms with different goals, however, for the most part, it is defined as a form of artificial intelligence that allows systems to learn from data without being specifically programmed.

Machine learning in HR can influence and shape any number of HR systems or processes. Whether it’s hiring and working with technology to find the best employees for the job or analyzing how employees relate to your business to help you make appropriate changes to your culture or processes, machine learning is a valuable tool for all HR teams. Here are some of the ways technology trends are shaping machine learning tools that HR can use and benefit from.

Recruitment and Applications

Machine learning allows HR departments to quickly assess and analyze applications during the recruitment process. Based on keywords and other measurements, machine learning applications and software can help HR management find the highest quality candidates based on pre-determined factors. It can help speed up the application process by offering HR managers and recruiters a quickly assessed candidate profile from a talent analytics perspective, saving valuable time.

Performance and Engagement

HR machine learning also extends to performance evaluations and measuring employee engagement. Because of machine learning’s data evaluation capabilities, it can easily track metric related to performance – new accounts opened, customer service phone calls answered, sales quotas met. Data-driven performance evaluations can be beneficial for managers, HR, or the employee themselves.

Machine learning in HR also extends to measuring employee engagement. More and more HR departments are adding additional feedback software and programs to give their employees an opportunity to offer feedback at more than just at their annual review. Machine learning can be implemented alongside these programs to analyze trends among employees. A few of these trends include tracking keywords that appear in various employee reviews and issuing reports on the number of positive and/or negative ratings that are submitted, which can help to track employee trends and overall employee morale. This can help HR departments see trends among employees and work to implement changes or address concerns.

Machine learning software helps HR departments get the most complete picture of their most important asset – their employees. With its data analysis capabilities, machine learning can help organizations find the best quality candidates who most closely match the job description and requirements without the need for hours of HR recruiters sifting through each resume. Additionally, machine learning in HR lets organizations find patterns in their employees, which allows them to either grow their employee performance at the individual level or help shape corporate culture on the macro level.

Machine learning and AI have opened new possibilities for HR departments. It allows HR to see the most complete information available and helps businesses make decisions based on data. This data allows them to hire the best people and make changes to business culture if necessary, all benefitting the organization. Has your business used machine learning to create more robust HR processes or better employee data gathering?


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Marianne Chrisos
Marianne Chrisos
Born in Salem, Massachusetts, growing up outside of Chicago, Illinois, and currently living near Dallas, Texas, Marianne is a content writer as a company near Dallas and contributing writer around the internet. She earned her master's degree in Writing and Publishing from DePaul University in Chicago and has worked in publishing, advertising, digital marketing, and content strategy.

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