Research Article

Strategic Pathways for AI Modernization: A Framework for Enterprise Evolution

Authors

  • Pavankumar Yanamadala Sheffield Hallam University, UK

Abstract

The enterprise landscape requires comprehensive transformation strategies for managing complex challenges in modernizing artificial intelligence across organizational domains. This framework proposes a systematic implementation pathway to shift from older generation AI implementations to modern, scalable implementations through the systematic integration of technology developments and organizational changes. The modernization framework has five dimensions: capability baseline assessment and infrastructure modernization; advanced AI technology integrations and MLOps implementations; human capital and cultural change; and governance and implementing ethical strategies. Enterprise AI modernization demands advanced evaluation frameworks that go beyond accuracy-based criteria to include operational performance, resource consumption, and business effect indicators. Infrastructure modernization includes an organizational transition from monolithic, on-premise solutions to distributed, cloud-native solutions, and can include more scalable and flexible on-premise solutions with hybrid cloud deployments that use microservices architectures and container-based approaches. The integration of modern AI technologies includes advanced capabilities such as modern machine learning techniques in deep learning, transfer learning, language-based AI with natural language processing, advanced AI capabilities in computer vision, automated orchestration of pipeline technology, and monitoring capabilities. Organizational change will include human capital development with systemic competency frameworks and changing the organizational culture from traditional intuition-based decision-making to new data-driven decisions based on analytical evidence. The governance framework provides an extensive set of ethical principles that address fairness, transparency, and accountability throughout the full lifecycle of AI, and incorporates an anticipatory approach to compliance and sustainability, whether with respect to environmental harm or long-term business viability.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (10)

Pages

680-688

Published

2025-10-22

How to Cite

Pavankumar Yanamadala. (2025). Strategic Pathways for AI Modernization: A Framework for Enterprise Evolution. Journal of Computer Science and Technology Studies, 7(10), 680-688. https://doi.org/10.32996/jcsts.2025.7.10.68

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Keywords:

AI modernization, enterprise transformation, MLOps implementation, organizational change management, ethical AI governance