Introduction to AI integration:
The integration of AI and artificial intelligence (AI) has gradually extended its reach to all aspects of our life, including our work. While candidate tracking systems (ATS) were previously the popular choice for recruitment, changing demographics and the need to meet candidate expectations have led to the development of new technologies such as AI. , machine learning and data mining. In recent times, it has become easier to depend on AI to recruit, train and monitor employee development. What it does is manage the most mundane aspects of a job, giving way to creativity and effective problem solving.
Recruiting via AI has become a common practice and there are many recruiting software that is becoming popular in the HR circuit. Many companies have embraced the concept and are now at the forefront of the AI revolution. According to a survey led by Deloitte, 42% of executives think that AI will be the next innovation in the years to come and ready to adopt it. According to Scout exchange, employers who use machine learning algorithms when recruiting a reduction in recruitment time by more than 30%, an increase in the number of candidates by more than 40% and a reduction in the cost per hire by 30%.
Recruitment and integration:
The most important thing in recruiting is to spread the word. Textio is an AI-based solution that helps recruiters write job descriptions. It uses historical data from the company’s database and similar job postings from other companies to suggest changes to the employee’s job posting. With Textio, small changes in format and a different choice of words bring in many more applications from interested candidates.
Engaging with applicants becomes another challenge with a large number of applicants. Chatbots help solve this problem and reduce hiring time while successfully helping large numbers of applicants complete the application process. Since they provide regular updates to applicants and keep them informed of the status of their applications, chatbots have become an important cog in the recruitment process. Mya uses machine learning and natural language processing (NLP) and handles tasks such as provisioning, selection, planning, creating candidate profiles and pre-screening potential candidates.
Other such chatbots are Olivia and Mounting who use natural language processing to manage the scheduling part of the recruitment process. Chatbots are not only useful for potential employees, but also for new ones. An example is Unabot, a chatbot used by Unilever which uses natural language processing to address employee concerns in plain language. It provides suggestions on everything from switchability to payroll issues.
How AI integration solves job-related problems:
It is difficult to select the right candidate for any job. AI solves the problem by selecting candidates before they even set foot in their workplace. Pre-screening candidates via AI has become a common practice in companies that attract large numbers of candidates. Pymetrics has a set of tools that uses games to assess candidates before the interview stage. The cognitive skills and emotional characteristics of the candidate taken into account, and due to AI, the biases based on their gender, socio-economic status or race. A comparison of candidates and existing employees is made through which a good fit for the company is sought. If the AI recognizes another role to which the candidate would be better suited, it recommends it to the candidate.
On vocational training:
The AI tools are first familiarized with the working styles of the different employees of a company. They coached new or existing employees by showing them more efficient ways of performing a task. An example would be Chorus, a tool that analyzes sales calls and offers advice on pace and messaging. To gain efficiency, Chorus records all calls and monitors the statistics of each salesperson. He then provides advice to others on how to more effectively perform similar tasks.
Cogito combines AI with behavioral science and is used in customer service to provide better telephone support to employees. It monitors voice signals and suggests ways to improve conversation with customers.
Skills efficiently transferred from one generation to the next thanks to AI. The experience of an employee about to retire will not be lost. AI will ensure that its skills can be used for the benefit of others. Honeywell uses augmented and virtual reality (AR / VR) with AI to study the work of existing employees so that it can pass it on to new employees.
Employees wear AR helmets when performing tasks. These help track what the engineer is doing using image recognition technology. Which is then recorded and read to new employees. Who can now understand the role they have to play within the company. Video imagery also provides the knowledge to create other AR tools. This can provide real-time suggestions as engineers continue their work. Make them aware of the dangers or remind them to perform certain tasks when they are in a particular place.
The future of AI integration:
Although there has been a development in AI tools over the years. There is still a long way to go. People are wary of relatively new technology for many reasons. One reason is a misconception that AI will eventually replace its human counterparts. However, it is not the complete replacement of the employees but the increase which is the next step; AI will help us do our jobs more efficiently. PeopleDoc is one such tool that monitors employees and makes suggestions on how they can perform a specific task more efficiently. This is robotic process automation (RPA). The sole purpose of AI is to take on the subordinate tasks and leave more complex problems to humans.
Aside from that, AI recruiting solution providers agree that he tends to ignore important issues. Such as data security, confidentiality, inclusion, etc. That’s why the announcement of a Expert Advisory Committee by HireVue was well received. A technology that could revolutionize certain aspects of professional life as we know it. It hinders certain challenges and the development of ethical AI. It will certainly be easier for people to adopt it. In a Deloitte report published in 2017, the researchers recognized that with AI “the” essentially human “aspects of work are becoming more important”. AI is here to stay. And any business that wants to create a niche must take full advantage of it. Or lose in the long run.
Various organizations focus on quality work data that they can use in their analysis to find the right candidate. This data will help the integrated AI system they have set up to find this candidate. This will help the AI integration system to understand the need and requirements of the job and achieve better results.