Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{187416,
        author = {Anusha K.S},
        title = {A Modern CTO Framework for Scalable Technology Leadership in SMEs},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {4273-4274},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187416},
        abstract = {Small and mid-sized enterprises (SMEs) operate with limited budgets, legacy applications, and technology capability gaps. This paper presents a CTO leadership framework combining AI-driven analytics, microservices, cloud-native modernization, and DevOps practices. Two real-world implementations validate the framework: an AI-driven patrol optimization system using LSTM forecasting, reinforcement learning, and anomaly detection; and a healthcare modernization initiative for GMG Sante, France. The proposed model helps SMEs improve delivery performance, predictive intelligence, scalability, and operational efficiency.},
        keywords = {AI, CTO Leadership, Microservices, SME Modernization, Cloud Computing, Reinforcement Learning, DevOps.},
        month = {November},
        }