AI and machine learning in career management: The impact on psychometric testing
The introduction of artificial intelligence (AI) and machine learning (ML) into career management has transformed the way individuals navigate their journey towards career growth and development. These technologies provide crucial insights to organisations in order to make data-driven decisions.
“Today, the key theme for talent identification is turning out to be specific, i.e., focusing on the right profile, identifying skills for agile work specifically in a remote-hybrid work scenario and retention strategies. This is now done through assessment tools, AI, and data analytics.”
- Siddhartha Gupta, CEO, Mercer | Mettl
AI and ML offer a transformative approach to unlocking one’s professional potential. With vast data analysis capabilities and sophisticated algorithms, AI can create personalised career development plans in alignment with market trends, which are tailored to suit the skills, competencies, and preferences of individuals. The personalised career guidance offered by AI can enable individuals to identify and work towards new growth opportunities while they navigate the complexities of the job market. These technologies can further analyse an individual’s profile and compare it to current job market data to facilitate job matching and connecting individuals to suitable job roles.
AI systems offer unmatched capabilities for processing and analysing huge amounts of data. These systems can wade through digital footprints, like social media activity, online interactions, and academic records, to build comprehensive profiles for individuals. The data-driven approach offered by AI systems can act as a powerful tool to accurately assess the capabilities and potential of an individual.
It is evident that today’s market is dominated by AI and data-driven decision-making. This means AI-powered psychometric tests help evaluate the personality traits, behavioural tendencies, and cognitive abilities of individuals. AI and ML algorithms can automate different aspects of psychometric testing, like assessment delivery and analysis. AI algorithms can analyse test results and identify patterns, which can be used to gain insights into performance predictors or identify areas of improvement. These technologies can be used to customize assessments to address specific requirements and create tests where the question difficulty is adjusted based on the responses provided by the test-taker. The potential offered by AI-powered psychometric assessments for career management and planning is limitless. Advancements in technology will enable the creation of user-friendly assessments with greater accessibility and improved customisation capabilities.
“…we need to establish and standardize the meaning of talent in the current climate. A framework needs to be put in place to assess talent—scientifically, authentically and credibly. A synergy needs to exist between mapping talent and its assessment. In the current context, talent is defined either as digital competency, communication skills or business agility. Assessments are defined and done basis this.”
- Siddhartha Gupta, CEO, Mercer | Mettl
Mercer | Mettl offers a range of data-driven tools and solutions that harness the capabilities of AI, machine learning, and psychometric testing for effective career management. These tools for career management help HR managers navigate rapidly evolving job markets and hire and manage talent. Organizations can use them to gain a holistic understanding of the behaviour, capabilities, and personality traits of potential candidates.
(This article is part of IndiaDotCom Pvt Ltd’s Consumer Connect Initiative, a paid publication programme. IDPL claims no editorial involvement and assumes no responsibility, liability or claims for any errors or omissions in the content of the article. The IDPL Editorial team is not responsible for this content.)
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