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

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Click on an icon below to find out more about each step Access and collection2 Innovative solutions and use cases Step 1: Data access and collection Collect accurate and timely data from businesses and job seekers to understand labour market dynamics.Innovative approaches Data from businesses: Application programming interface (API) integrations with job boards can enable real-time vacancy updates and employer insights, while artificial intelligence (AI)-driven data analysis platforms can track labour market trends. Web scraping tools provide granular data from employer sites and job platforms. Data from job seekers: AI-driven profile analysers can automatically parse resumes and extract structured data, such as skills and qualifications. Combined with natural language processing (NLP), it processes unstructured data like resumes and cover letters to extract key details. Chatbots can also assist job seekers by helping with submissions, answering queries and ensuring a seamless data collection process. Cost-effective solutions Data from businesses: Market surveys can be conducted to engage businesses and collect relevant information, along with forms and spreadsheets, which also provide a straightforward method for capturing data.Data from job seekers: SMS-based registration systems offer a practical way for job seekers to provide their information. Additionally, physical registration centres such as kiosks or community offices can serve as data collection hubs. Disruptive trends: tech provider perspectives The internet of things (IoT) will influence how data is collected. By harnessing interconnected devices, this technology will allow for real-time tracking of individuals’ performance on the job or during recruitment processes. AI can then be used to analyse the data and provide insight into where training is needed and what skills are lacking. Matching Talent to the Jobs of Tomorrow: A Guidebook for Public Employment Services 11
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