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