Deep-learning will transform every single industry. McKinsey’s forecast on machine learning claims that by 2030, AI will have a significant impact of $13 trillion on the global economy. The Human Resource function will also witness significant impact through AI talent assessments.
Recruitment and talent assessment today is far more complicated than a decade ago. The shortage of skilled talent and increasing competition between organizations in scooping up the best talent multiplies the problem. However, visionary HRs have been advocating the use of next-gen technologies to deal with versatile challenges for the past couple of years.
Today, companies have a plethora of tools available at their disposal to navigate the recruitment cycle. Using technology is not an option but a necessity that will determine the long-term existence of the organization. Technologies such as AI, machine learning and data analysis will ensure a competitive advantage in hiring the right talent.
Using AI talent assessment tools that combine data with predictive analysis, HRs can get actionable insights that can help them devise proactive hiring strategies. AI-powered talent assessment tools can be a blessing for companies in industries such as hospitality, IT, healthcare, etc. that hire a considerable number of candidates every year.
Let us see how AI can leverage data to enhance talent assessment.
Shortlisting the candidates
Today, organizations have multiple positions to fill across various locations in different capacities. Going through hundreds of paper CVs is no longer a viable option. With AI and natural language processing, computers can go beyond basic keyword research. Solutions powered with these technologies can analyze the CV and understand the meaning as well as context.
You can simply enter the attributes of ideal employees, and the software will analyze thousands of CVs and present a shortlist of best-suited candidates.
Reducing personal bias
AI talent assessment tools can also eliminate any personal bias and bring complete objectivity to the recruitment process. Using AI for shortlisting candidates will save time while making the process seamless.
Finding the best fitment
Well, once the candidates are shortlisted, the most challenging task for HRs is to ensure that the most-suited candidate is hired. HRs have the onus of picking the right fit candidates who will perform well and provide value to the organization. While the human resource department has so far efficiently carried out this task using trial and error as well as their experience, using AI can bring higher accuracy and remove human-errors.
Predicting future performance
Using AI talent assessment tools, HRs can better predict the outcome of hiring a certain candidate over others. This pre-assessment can help HRs further shortlist the candidate from the profiles already shortlisted using artificial intelligence. Talent assessment tools enable organizations to better evaluate candidates in terms of skills, emotional intelligence, cognitive ability, and even behavior. This is something that obviously cannot be done manually.
AI-based talent assessment tools such as Otomeyt provide customized assessment tests based on your specific job description. Question banks with thousands of questions can be used to source questions suitable for a range of skills. Such a high-level of automation enables the human resource department to streamline and expedite the process.
For organizations hiring for tech roles, Al-backed talent assessment tools can work wonders. You can test your candidates in 300 technologies, assess multiple tech stacks, and even check the quality of code using the Global Code Verification System. This enables the recruiter to assess all the skills and make the decision using data.
AI talent assessment can be used to address specific bottlenecks faced by your organization in the recruitment process. Using generic tools for recruitment may not yield the best results. It is essential to use tools that are suited for the precise requirement of your organization to ensure the best results.
- Big Challenges Facing Tech Teams and How to Tackle Them - November 15, 2022
- Protect Test Integrity in Remote Assessments with AI - November 7, 2022
- Skill Gaps in Software Development: How to Identify and Close Them? - October 31, 2022