Simone Malacaria¹, Michele Grimaldi², Marco Greco² and Andrea De Mauro¹, ¹University of “Tor Vergata”, Italy, ²University of Cassino and Southern Lazio, Italy

Generative AI applications offer transformative potential for business operations, yet their adoption introduces substantial challenges. This paper utilizes the CBDAS data maturity model to pinpoint pivotal success factors for seamless generative AI integration in businesses. Through a comprehensive analysis of these factors, we underscore the essentials of generative AI deployment: cohesive architecture, robust data governance, and a data-centric corporate ethos. The study also highlights the hurdles and facilitators influencing its implementation. Key findings suggest that fostering a data-friendly culture, combined with structured governance, optimizes generative AI adoption. The paper culminates in presenting the practical implications of these insights, urging further exploration into the real-world efficacy of the proposed recommendations.

Artificial Intelligence, Generative AI, Analytics, Maturity Model, Big Data.