What question did this study set out to answer?

To develop an AI-augmented decision intelligence framework for enterprise systems focused on resource and talent optimization.

March 30, 2026Open Access

AI-Augmented Decision Intelligence for Enterprise Systems: Integrating Cognitive Analytics for Resource and Talent Optimization

Puntos clave

To develop an AI-augmented decision intelligence framework for enterprise systems focused on resource and talent optimization.
Integrated cognitive analytics and decision support systems
Employed predictive modeling techniques
Utilized human-in-the-loop approaches for enhanced decision-making
Demonstrated statistical validation of AI-driven decision intelligence
Indicated improvement in enterprise performance
Provided a scalable roadmap for organizational transformation

Resumen

This paper presents an AI-augmented decision intelligence framework for enterprise systems, integrating cognitive analytics, predictive modeling, and human-in-the-loop decision support for optimized resource allocation and talent management. The study demonstrates statistical validation of AI-driven decision intelligence adoption and its impact on enterprise performance, providing a scalable roadmap for data-driven organizational transformation.

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V. Viswanathan

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Clinical Research Solutions

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AI-Augmented Decision Intelligence for Enterprise Systems: Integrating Cognitive Analytics for Resource and Talent Optimization

Puntos clave

Resumen

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Authors

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References and Citations

Citation Network

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