Personalized employee value proposition: IA and employee engagement

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Due to technological advances, companies are trying to adapt and are increasingly resorting to artificial intelligence to deal with the current crisis of employee engagement. Companies are looking to leverage the vast amounts of data available to employees to personalize the employee’s workplace experience. In addition, it helps to understand the life cycle of employees, thereby creating more personalized experiences and maximizing commitment.

With data analysis we can provide HR with a projection of the ideal experience for each individual employee. With increasing data transfer speeds, the volume of data collected, and the variety of data collected, HR managers will be able to organize highly personalized employee experiences. Employee Lifecycle Analysis (recruitment, induction, development, retention, separation) can help organizations build a personalized approach, which will become attractive to employees and more productive for employers.

Today, some HR departments use artificial intelligence platforms for recruitment and talent acquisition. This allows recruiters to use their time more effectively and speed up the hiring process. Instead of manually reviewing hundreds of resumes, they can easily reduce the number of candidates by going through a filter and interviewing the right ones from the start. This allows HR professionals to do their job more efficiently and focus on higher-level tasks.

Today we have a variety of continuous listening and analysis tools that foster the ability to monitor and improve employee engagement throughout their lifecycle. By analyzing large amounts of data, HR professionals can identify and predict which employees are at risk of demotivation and then resolve the problem proactively. Through predictive analysis of AI systems that allows us to uncover patterns of behavior, companies can take action to prevent the loss of customers and extend the life cycle of employees. The result of this would give companies the ability to customize their form of management in the best possible way to improve both motivation and employee performance.

Employers can apply Artificial Intelligence to identify the best professional development of each employee and extend the life cycle by reducing attrition and creating positive benefits to motivate them. Although analytics and artificial intelligence do not apply to compensation and benefits, there is enormous potential to use the data to solve employee problems related to these two areas. The customization of benefits makes it possible for companies to save time and money while improving employee engagement.