Dr. Sonal Sagar Boda

AI-Enabled Data-Driven Decision-Making: From Predictive Modeling to Governance and Adoption

Abstract:

The integration of artificial intelligence (AI) into enterprise-level decision-making has become essential for enhancing data-driven decision-making (DDDM) processes. However, existing literature remains fragmented across technical, organizational, and ethical domains, lacking cohesive guidance on how AI is operationalized within decision systems at scale. This study addressed that gap by qualitatively synthesizing 40 peer-reviewed sources, including journal articles, books, conference proceedings, white papers, and practitioner reports published between 2020 and 2025. Grounded theory informed the conceptual framework, and data analysis followed a structured, eight-step content analysis protocol. The study examined how organizational practices and decision-making processes evolve through the integration of AI into DDDM frameworks. Findings were categorized into technical and business themes. Technically, organizations emphasized AI model deployment, data pipeline readiness, system integration, decision-support visualization, and model optimization with strong governance safeguards. Business themes highlighted the importance of strategic alignment, executive sponsorship, cultural adaptation, ethical accountability, and human-AI collaboration. Stakeholder perceptions and contextual adoption barriers further influenced outcomes. These findings underscore that effective AI-enabled DDDM requires alignment between predictive modeling capabilities and organizational readiness, supported by transparent, ethical, and scalable implementation. The study contributes a socio-technical perspective to guide the development of context-aware AI decision architectures across sectors.

Profile:

Dr. Sonal Sagar Boda is a Scrum Lead and Technical Program Manager at Cisco, where he leads enterprise-scale CRM transformation initiatives utilizing Salesforce and Mulesoft. With deep expertise in cloud computing, agile delivery, and data-driven strategy, he is known for driving impactful digital transformation across complex organizations.

Dr. Boda is a recognized contributor to the global tech and academic communities, having served as a keynote speaker, session chair, and peer reviewer for IEEE and Springer conferences. He holds editorial board positions with Eternal Scientific Publications and the International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences. He is also a member of MLE Harvard Square and contributes to the IEEE Artificial Intelligence Policy Committee (AIPC), supporting responsible AI policy governance. Additionally, he has contributed as a judge for global hackathons, helping to evaluate and elevate innovative solutions from emerging tech talent. He is passionate about advancing innovation at the intersection of technology, research, and community impact.