In an era where machine and automatic work has become a trend hence for one to adapt to the same can not be considered lazy or incapable. To leverage technology to one's benefit is a talent. Almost every organization and company today uses advanced technologies to bring out the best whether it be business analysis or hiring new employees or managing them.
AI tools help in determining the potential candidates and talent with much less hassle. Rather than spending days by manually identifying who is a better candidate and who is not, technology comes in handy. You can simply use AI to actually classify the data of application into categorizing and identifying potential candidates. The AI powered screening tools are capable of analyzing large volumes of resumes and applications by understanding the fed criteria for the candidate hunt. Not only does this reduce the hassle but also saves so much time. Machine learning models analyze the past data of successful hires and help in predicting the best fitted candidates.
After successfully conducting the recruitments the job of HR’s doesn't end just there. Managing employees is their next adventure. So how to tackle problems on this race course? Well first and foremost managing employee performance. Now, to manually check each and every employee's performance is not so possible. The right approach to this can be using AI-Based Performance Analysis. These tools can keep track of performance metrics which involve aspects like productivity along with soft skills. More use of objective data is considered to be beneficial rather than keeping it subjective as it targets more numbers of employees and allows comparative analyses which in many situations can promote healthy competition. Another use of machine learning based platforms can be for receiving feedback.
Using predictive analysis models use historical data to predict the need for hiring and knowing whether a certain department needs more workforce to be involved. ML models are helpful in such cases as they help in reducing workload from the present stack of employees which in turn also helps in identifying an understaffed or overstaffed workplace. Organizing meetings becomes much easier with the involvement of AI. Not just this scheduling shifts in workplaces or companies that rely on shift work. These tools help in reducing workload and burnouts for individuals. Also helps in understanding employee preferences, availability and incorporating the right use of Labour Laws.
AI and ML makes it easy to conclude decisions related to compliance. It also helps in concluding topics that are heavily influenced or dependent on bulk data or more number of people. So many such AI powered analytics platforms allow HR’s to visualize data on hiring, retention and productivity. These tools make it easier to track and analyze performance and trends. These tools reduce legal risks.
For a company to thrive, the most important component to be taken care of is its employees. Apart from the other practical implementations of AI and ML these are remarkable resources in helping out and keeping a track of employee wellbeing. AI tools help in assessing and identifying the presence and absence of an employee which can lead to the understanding of their health. If an employee’s engagement is declining there can be several reasons for it, a few reasons such as frequent burnouts, less activity, declined social life are signs that they may need help. Hence, by using AI and ML HR’s can keep record of an employees mental and physical health.
Understanding the power of AI is really important for an organization. Equally it can be a threat, so to ensure complete protection of sensitive employee data becomes a crucial goal as the saying goes
“With great power comes great responsibility”.
← Go back