A data science framework for AI-driven innovation within organizations

Artificial Intelligence (AI) continues to redefine how organizations innovate, grow, and enhance productivity. However, successful AI adoption hinges not only on technology but also on the strategic integration of data within organizational ecosystems. This paper presents a structured data science framework to guide AI-driven transformation in organizations. Anchored in six foundational pillars - data strategy, infrastructure, AI workflows, culture, talent, and feedback - the framework synthesizes best practices, case studies, and emerging research to offer a roadmap for sustainable AI innovation. The model emphasizes the need for strategic alignment, ethical governance, and cross-disciplinary collaboration to maximize AI’s impact on enterprise growth and operational efficiency.