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AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact

Author

Listed:
  • Abdulaziz Aldoseri

    (Engineering Management Program, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Khalifa N. Al-Khalifa

    (Engineering Management Program, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Abdel Magid Hamouda

    (Engineering Management Program, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

Abstract

Digital transformation systems generate a substantial volume of data, creating opportunities for potential innovation, particularly those driven by artificial intelligence. This study focuses on the intricate relationship between artificial intelligence and innovation as foundational elements in the digital transformation framework for sustained growth and operational excellence. This study provides a holistic perspective on the cultivation and pillars of AI-powered innovation, highlighting their pivotal role in revolutionizing industries, including healthcare, education, finance, manufacturing, transportation, and agriculture. The work emphasizes the key pillars essential for fostering AI-powered innovation, including monitoring performance measurement to use the power of the present, continuous learning and innovation, data analytics and insights, predictive analytics, and innovative product development. This study investigates how these pillars serve as the foundation for groundbreaking advancements, driving efficiency, enhancing decision-making processes, and fostering creativity within organizations. This study explores the significance of continuous learning, interdisciplinary collaboration, and industry partnerships in nurturing a thriving AI-powered innovation ecosystem. By understanding and harnessing these fundamental elements, businesses can navigate the complexities of the digital age, fostering innovation that not only optimizes processes but also enhances the overall human experience, ushering in a new era of technological excellence and societal progress.

Suggested Citation

  • Abdulaziz Aldoseri & Khalifa N. Al-Khalifa & Abdel Magid Hamouda, 2024. "AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact," Sustainability, MDPI, vol. 16(5), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1790-:d:1343415
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    References listed on IDEAS

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    Cited by:

    1. Cordia Peter Ogbeta & Akachukwu Obianuju Mbata & Kenneth Udemezue katas, 2025. "Technology and Regulatory Compliance in Pharmaceutical Practices: Transforming Healthcare Delivery through Data-Driven Solutions," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 1139-1147, January.
    2. FU, Yunyun & SHEN, Yongchang & SONG, Malin & WANG, Weiyu, 2024. "Does artificial intelligence reduce corporate energy consumption? New evidence from China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 548-561.
    3. Mazin Alahmadi, 2025. "A Deep Learning-Based Ensemble Framework to Predict IPOs Performance for Sustainable Economic Development," Sustainability, MDPI, vol. 17(3), pages 1-29, January.
    4. Manzoor Hussain Soomro & Mirza Abdul Aleem Baig, 2024. "AI for Sustainable Development in the Belt and Road Countries - Need for Capacity Building," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 17(5), pages 1-43, September.

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