Reimagining Talent Management: Cloud-Native AI Tools for Predictive HR Analytics

Yadav, Mohit, Dewasiri, Narayanage Jayantha, Minakshi, - and Choudhury, Tanupriya (2026) Reimagining Talent Management: Cloud-Native AI Tools for Predictive HR Analytics. In: Automating Intelligence With Cloud-Native AI Tools. IGI Global, 309 -323. ISBN 9798337374444; 9798337374420

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Abstract

This chapter explores the paradigm shift in Human Resources (HR) from reactive, intuition- based practices to a proactive, data- driven function powered by Cloud-native Artificial Intelligence (AI). It argues that the synergy between cloud computing's scalability and AI's predictive capabilities is fundamental to reimagining talent management. The chapter deconstructs the modern predictive HR tech stack and presents core use cases in acquisition, retention, development, and performance. It critically addresses the imperative of navigating ethical challenges—including bias, privacy, and transparency—and provides a framework for responsible implementation. Ultimately, this evolution empowers HR to become a strategic partner, using predictive analytics to augment human decision- making, mitigate workforce risks, and foster a more adaptive, resilient, and human- centric organization. © 2026 by IGI Global Scientific Publishing. All rights reserved.

Item Type: Book Section
Keywords: Artificial intelligence | Decision making | Personnel | Artificial intelligence tools | Cloud-computing | Data driven | Human decision-making | Human resource analytics | Paradigm shifts | Performance | Predictive capabilities | Strategic partners | Talent management | Predictive analytics
Subjects: Social Sciences and humanities > Business, Management and Accounting > Business and International Management
Social Sciences and humanities > Business, Management and Accounting > General Management
Social Sciences and humanities > Business, Management and Accounting > Management Information Systems
Social Sciences and humanities > Business, Management and Accounting > Management of Technology and Innovation
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Arjun Dinesh
Date Deposited: 02 Mar 2026 08:29
Last Modified: 02 Mar 2026 08:29
Official URL: https://doi.org/10.4018/979-8-3373-7442-ch021
URI: https://pure.jgu.edu.in/id/eprint/10969

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