Adaptive Learning Ecosystems: AI-Enabled Cloud Platforms for Employee Upskilling

Choudhury, Tanupriya, Yadav, Mohit, Dewasiri, Narayanage Jayantha and Minakshi, - (2026) Adaptive Learning Ecosystems: AI-Enabled Cloud Platforms for Employee Upskilling. In: Automating Intelligence With Cloud-Native AI Tools. IGI Global Scientific Publishing. ISBN 9798337374420

[thumbnail of Adaptive Learning Ecosystems.pdf] Text
Adaptive Learning Ecosystems.pdf - Published Version
Restricted to Repository staff only

Download (595kB) | Request a copy

Abstract

The accelerating pace of technological change has created a critical skills gap, rendering traditional corporate training models obsolete. This chapter explores the transformative potential of adaptive learning ecosystems—AI-enabled, cloud-native platforms that create dynamic, personalized environments for continuous employee upskilling. It deconstructs the core architectural pillars of these systems: artificial intelligence for personalization, cloud infrastructure for scalability, and dynamic content for relevance. The analysis covers the mechanisms of adaptation, strategic benefits for organizational agility, and a practical implementation framework. It also addresses critical challenges, including data privacy and algorithmic bias. Ultimately, the chapter argues that investing in these ecosystems is a strategic imperative, enabling businesses to build a resilient, future-ready workforce and sustain a competitive advantage in the AI-augmented economy.

Item Type: Book Section
Keywords: adaptive learning | artificial intelligence | data privacy | algorithmic bias | AI-augmented economy
Subjects: Social Sciences and humanities > Business, Management and Accounting > Business and International 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 07:31
Last Modified: 02 Mar 2026 07:31
Official URL: https://doi.org/10.4018/979-8-3373-7442-0.ch001
URI: https://pure.jgu.edu.in/id/eprint/10968

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item