Digital Transformation Strategies Using AI-Enabled Data Platforms

  • Authors

    • Dr. Siti Aisyah Rahman Department of Education, Nusantara State University, Kuala Lumpur, Malaysia. Author

    DOI:

    https://doi.org/10.67228/30713315/IJAIDT-2024PII9L3Y

    Published 11-05-2024

  • Digital Transformation, Artificial Intelligence, Data Platforms, Big Data, Machine Learning, Cloud Computing, Enterprise Systems, Predictive Analytics

    Issue

    Vol. 7 No. 2 (2024)

    Section

    Articles

    How to Cite

    [1]
    S. A. Rahman, “Digital Transformation Strategies Using AI-Enabled Data Platforms”, IJAIDT, vol. 7, no. 2, pp. 01–12, Nov. 2024, doi: 10.67228/30713315/IJAIDT-2024PII9L3Y.

  • Abstract

    Digital transformation has become essential for organizations competing in a data-driven economy, driven largely by the integration of Artificial Intelligence (AI) and advanced data platforms. These technologies enable smart automation, predictive analytics, and real-time decision-making. This paper presents digital transformation as a multi-dimensional process involving organizational culture, business processes, and technological infrastructure, with AI-powered data platforms at its core. It reviews key technological developments prior to 2019, including cloud computing, big data frameworks like Hadoop and Spark, and early enterprise AI adoption. Current research emphasizes the importance of data governance, scalability, and interoperability. The paper proposes a structured implementation approach covering data collection, preprocessing, model development, deployment, and continuous optimization, supported by a flow-based architecture. Findings show that organizations adopting AI-enabled platforms achieve up to 45% improvement in operational efficiency and a 35% reduction in decision-making delays. The study concludes by stressing the need to align AI initiatives with business goals and highlights future directions such as autonomous systems and ethical AI practices.

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