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Saturday, 17 May 2025
Moris Media, a leading PR boutique and digital marketing agency in India, connected with CEOs and HR Professionals to secure valuable insights that might help you successfully utilize AI in HR management. There are various concepts that may help you utilize AI efficiently in HR management, ranging from running forecasts for effective planning to giving self-service for submitting claims.
Here are six ways business leaders utilize AI in human resource management:
Many organisations are using AI and machine learning to enhance HR processes in a variety of ways. For example, some companies use machine learning algorithms to forecast which applicants are likely to succeed in a specific job, and also use AI-powered chatbots to assist employees in answering queries and resolving difficulties. Furthermore, many companies are also using machine learning to provide performance reports and suggest possible areas of growth for staff. Overall, these technologies are assisting the companies in improving the efficiency and effectiveness of their human resources department.
Diverse and Equitable Hiring is a vision that most top organisations strive to implement and they are always on the lookout for technological features that can make this possible. The corporate sector seems to be finally catching up with the times, and HR technology is being developed at a quick speed to keep up. Hiring technology are transforming the hiring process and making it more efficient for all parties involved. HR technology is bias-blind, which means that a firm may adjust recruiting technologies to correct any biases in earlier hiring choices and start moving in the right direction. Inclusive hiring does not end here, but adopting new HR technology centred on enhancing recruiting procedures is a terrific first step for any firm.
Many companies are now using AI to enhance HR tasks in a variety of ways, including timecards and scheduling. They have geofencing, so workers may clock in using a phone app or a computer program. Because their hours are automatically adjusted, their schedules may move slightly to ensure that they work precisely the standard work hours set for them.
The system also notifies the HR department if someone's schedule is going completely off the track so that corrective measures can be implemented before the weekend comes. For example, if someone in an organisation that has 45 hour working weeks (5 days a week) has already worked 40 hours by Thursday, the schedule will release them four hours early on Friday. That might be an issue since more work has to be done on Friday, and leaving so early requires consent. With this technique, HR teams will be aware of a possible problem by Wednesday and may intervene to resolve it.
The responsibility of most top HR leaders is to guarantee that the organization is continually in touch with potential personnel. With so many individuals seeking for work, the volume of resumes received on a daily basis is massive. Therefore, a number of HR Teams have started using machine and AI technologies to digitize these resumes into complete forms that identify various talents with appropriate responsibilities. When the time comes to fill a position, it is simple to obtain a prospective candidate's resume and make a phone call to offer them a job.
Many top organisations believe that AI may help optimize specific HR procedures, such as L&D. They are employing text-to-video technologies to provide interesting instructional materials. Because the system is so user-friendly, the HR department saves time and, frankly, anxiety. The results are impressive and the HR teams are appreciating how quickly a video can be created.
Some companies that have recently started sing AI to enhance some of their services are using it to assist their staff, for example, in filing health insurance claims. They may pick a self-service option, and the AI program handles everything until it's processed, with no participation from HR.
This method has saved us a significant amount of time and is much more convenient for the personnel. The only challenge has been teaching them to utilize it. Some of the senior employees prefer to come into the office and fill out paperwork the old-fashioned manner, and are hesitant to adopt this new method. The difficult issue is that they are the ones who gain the most from health care.
AI and Machine Learning in Human Resources is still in nascent stage but the promises exhibited and the variety of applications that organisations are using it for is indeed showing acceptability for the technologies.
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