The growing adoption of AI across different sectors gives rise to complex challenges. One significant hurdle is upgrading the underlying technological framework to exploit AI's potential fully. This often entails comprehensive data and computing modernization efforts to facilitate AI-driven changes. CIOs and data officers may be under pressure to develop a contemporary data and information architecture. The question arises: how are companies effectively executing the foundational transformations required for AI innovation? This discussion will concentrate on the crucial role of CIOs in navigating these transitions and spearheading the required developments.
 The session will address:
 • Evaluating existing systems for AI optimization;
 • Exploring new aspects of the underlying architecture;
 • Challenges in acquiring the talent and skills needed for AI-centric innovation