A LinkedIn Future of Recruiting survey found that 81% of talent professionals believe that virtual recruiting will stay with us even after the covid-19 pandemic subsides .
This confidence has spurred the development of intelligent and disruptive hiring technologies. Artificial intelligence, machine learning, and RPA are already streamlining human resource management processes. The search for new talents, the selection of the most worthy of them, and the management of teams are at their mercy.
Opportunities provided by AIIn today's competitive environment, hiring and retaining talent requires strong support from HR teams. They must provide employees and candidates with a great hiring, training, and operations experience, with speed, accuracy, and personalization.
AI algorithms can help a lot with this and are already helping HR teams.
Availability 24/7. Chatbots are good at simulating a personal conversation. Available at any time and on any device, they answer questions faster than real operators. Personalized communication. Both candidates and employees need real-time access to human resources, up-to-date alerts, and more. Including based on their location and preferences. Real time data. If a significant number of candidates or employees are asking the same questions or expressing similar concerns, data analytics can be used to quickly identify and respond to issues that have arisen. Automation.AI platforms can support employees by automating transactional and repetitive work, freeing up their time to focus on more human tasks.According to a new report by Deloitte and Paylocity, automating HR processes will save businesses an average of $54,700 per year. And this is only due to the correct organized time management. Automating cost management, payroll, or tax payments could bring additional savings of $37,000 per year.
How automated selection worksThere are two types of hiring. One of them involves a huge number of applications and applications, and the other does not. And if a person is able to cope with the latter, then the former must be automated.