Matching Talent to the Jobs of Tomorrow A Guidebook for Public Employment Services 2025

Glossary (2/4) Term Generic definition Applied to job matching Deep learning (DL) DL is a type of machine learning (ML) that enables machines to mimic human behaviour by learning from data and identifying patterns.13DL can analyse video resumes, interpret nuanced resume language and match candidates by identifying deeper skill-job connections. It can also handle advanced tasks like image and speech recognition, though it is more computationally intensive than standard ML. Generative AI (GenAI) GenAI is a category of AI that can create new content such as text, images, videos and music.14GenAI can create personalized job recommendations, interview questions and learning content based on specific skills and gaps. Unlike ML or DL, it focuses on content creation, adding creativity and adaptability to job matching. Inference model This is a statistical model used to predict or infer the properties of a population based on sample data, especially useful in scenarios where direct measurement of all data points is impractical.These models can predict the likelihood of a candidate’s success in a role based on historical data, helping recruiters make data-driven hiring decisions. Internet of things (IoT) The inter-networking of physical devices and objects whose state can be altered via the internet.15IoT facilitates the use of interconnected devices to collect real-time data on labour market trends, workplace environments and industry demands. By using IoT data, public employment services can gain precise insights into emerging job opportunities, workforce needs and skills requirements. Interoperability Interoperability refers to the ability of software or hardware systems or components to operate together successfully with minimal effort by an end user.16Interoperability can ensure that tools like job boards, applicant tracking systems, and learning platforms share data effortlessly, enabling comprehensive talent management. Large language model (LLM) LLMs are a class of language models that use DL algorithms and are trained on extremely large textual datasets that can be multiple terabytes in size.17LLMs can process resumes, answer candidate queries and enhance chatbots for real-time career guidance. Specializing in language comprehension and generation, they excel in tasks involving communication or text-heavy data in job matching. Matching Talent to the Jobs of Tomorrow: A Guidebook for Public Employment Services 32