AI-Orchestrated Digital Ecosystems for Intelligent Enterprise Transformation

  • Authors

    • Dr. Rajesh Kumar Sharma Professor, University of Delhi, India. Author

    DOI:

    https://doi.org/10.67228/30713315/IJAIDT-2025PI1T8L

    Published 03-05-2025

  • Artificial Intelligence, Digital Ecosystems, Enterprise Transformation, Intelligent Automation, Digital Orchestration, Machine Learning, Business Intelligence, Industry 4.0, Predictive Analytics

    Issue

    Vol. 8 No. 1 (2025)

    Section

    Articles

    How to Cite

    [1]
    R. K. Sharma, “AI-Orchestrated Digital Ecosystems for Intelligent Enterprise Transformation”, IJAIDT, vol. 8, no. 1, pp. 01–16, Mar. 2025, doi: 10.67228/30713315/IJAIDT-2025PI1T8L.

  • Abstract

    Artificial Intelligence (AI), cloud computing, IoT, big data analytics, and automation are driving the evolution of digital transformation toward integrated and intelligent enterprise ecosystems. This research proposes an AI Orchestrated Digital Ecosystem (AIODE) framework that combines data acquisition, integration, AI intelligence, digital orchestration, process automation, and decision support layers. The framework enables intelligent decision-making, predictive analytics, resource optimization, and adaptive business operations through AI and machine learning. Performance evaluation using key indicators demonstrates significant improvements in operational efficiency, automation, customer satisfaction, predictive accuracy, and resource utilization compared to traditional enterprise systems. The proposed approach supports scalable, agile, and sustainable enterprise transformation, providing valuable insights for researchers and practitioners developing next-generation intelligent enterprises.

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