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InsightConnect: An AI-powered talent intelligence system for optimized workforce matching and forecasting.

Shao-Lun Lee¹, Mei-Hua Hsu², Max Yue-Feng Wang³

¹Department of Information Management, Asia Eastern University of Science and Technology, New Taipei, Taiwan.

Science Progress

|June 18, 2026

Summary

This summary is machine-generated.

Artificial intelligence (AI) enhances talent management through the InsightConnect system, improving talent-project matching and forecasting. This AI-driven approach boosts efficiency and user satisfaction in human capital development.

Keywords:

AI ecosystem predictive analytics recommendation systems talent platform workforce intelligence

Related Experiment Videos

Area of Science:

Artificial Intelligence
Human Capital Management
Data Science

Background:

Rapid advancements in AI are transforming traditional talent management practices.
Data-driven approaches are increasingly crucial for recruitment, skill development, and workforce planning.
Existing systems often lack integrated capabilities for optimizing talent-project alignment and forecasting.

Purpose of the Study:

To introduce and evaluate the InsightConnect AI Empowerment System for talent management.
To enhance talent-project matching, recruitment forecasting, and knowledge sharing.
To demonstrate the application of AI, including predictive analytics, NLP, and graph-based learning, within a Design Science Research framework.

Main Methods:

Development of the InsightConnect system using a Design Science Research (DSR) framework.
Utilized anonymized datasets of 10,000 user profiles and 2,000 enterprise projects.
Employed a hybrid recommendation model (content-based, collaborative, graph-embedding) and a predictive module.

Main Results:

The hybrid recommendation model improved precision by 12.7% and recall by 10.4% over baselines.
The predictive module achieved a Root Mean Square Error (RMSE) of 0.083, indicating high forecasting accuracy.
Prototype deployment led to a 24% increase in successful talent-project matches and a 30% reduction in search time.

Conclusions:

AI-enabled ecosystems significantly advance workforce intelligence and data-informed decision-making.
The InsightConnect system demonstrates practical improvements in organizational efficiency and user satisfaction.
Findings support AI's role in policy innovation for sustainable human capital development.