EVERY DAY NEW TECHNOLOGY ADVANCEMENTS ARE MADE. EVERY DAY THE KNOWLEDGE WE GAIN IS CHANGING INDUSTRIES.
Even Human Resources are being affected by these developments.
Technology such as machine learning can have a significant impact on HR.
Machine learning is the use of data and statistics to design an algorithm that can self-function.
Machine Learning is Instrumental
As such, machine learning is instrumental when trying to automate a process or shuffle through significant amounts of data.
It’s easy to imagine how this sort of technology might help HR.
Streamlining the Process Most HRs must process hundreds of applications in a day, digging through them all to find the best candidate for the job. With machine learning, this process has been made infinitely more manageable. HR can plug in the traits/skills they’re looking for and let the algorithm do the processing for them.
The process would get better with time. That’s where the ‘learning’ part of machine learning comes into play. Over time the algorithm will begin to understand better what a company is (or is not) looking for, further enhancing the process.
Other Uses for Machine Learning Schedule other HR functions (interviews, appraisals, meetings, etc.) Improve the recruitment process Personalize training Measure employee engagement Attrition detection
Attrition Detection
Machine learning can do more than simply help a company hire new employees – it can help maintain those employees. Attrition detection has always been a considerable concern for upper management. A company needs to understand why their employees leave and how to prevent it.
Here’s where having an algorithm that can delve into the data and translate it helps. Through the use of machine learning and employee surveys, it can become more accessible for a business to understand why an employee might wish to move on and what can be changed to help prevent that in the future.
Available Options There is already a variety of software available to help HR access this latest advancement in technology. Everything from sorting applications to management personnel has already been thought of and developed.
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Alan Rasof