Enterprise-Scale AI and Analytics Strategy for End-to-End Business Transformation across Global Organizations
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I3P114Keywords:
AI Capability Maturity, Analytics-Led Transformation, Intelligence Enablement, AI Value Chain Design, Digital Operating Model Evolution, Enterprise Capability Engineering, AI Adoption Frameworks, Industrialized AI Practices, Transformation Governance, Value Realization Management, Federated Intelligence Models, Enterprise AI RoadmappingAbstract
In 2023, global enterprises accelerated artificial intelligence (AI) adoption as a strategic lever for sustainable competitive advantage and operational reinvention. The current research paper suggests a thorough Enterprise-Scale AI and Analytics Strategy combining AI Capability Maturity analysis with systematic Enterprise AI Roadmap to lead to the transformation of value in a staged manner. The model puts Analytics-Led Transformation and Intelligence Enablement in the center of letting AI become part of everyday business operations, as opposed to viewing it as a branch of technological experimentation. The suggested model includes AI Value Chain Design to bring data acquisition, model development, deployment, monitoring, and optimization into a unified Digital Operating Model Evolution. Enterprise Capability Engineering provides the organization the opportunity to plan the mapping of AI ventures against strategic purposes in a structured manner, thus the impact of AI on revenue growth, cost reduction, and improved customer experience is measurable. The research also focuses on the strong AI Adoption Frameworks and Industrialized AI Practices that align the lifecycle management and scalability of worldwide operations. Mechanisms Transformation Governance and Value Realization Management. It also has mechanisms of compliance, ethical AI deployment, and sustained performance tracking. Also, Federated Intelligence Models are emphasized as key facilitators to achieve distributed but coordinated AI deployment at multinational companies. The study proves that by institutionalizing AI as an enterprise capability, it is possible to have resilience in decision-making, faster innovation, and end-to-end business transformation in more advanced digital ecosystems.
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