Every industry is facing critical crossroads, and banking is no exception. While artificial intelligence promises an unprecedented transformation in banking operations, channels, risk, credit, and most other domains, many institutions still struggle to integrate AI effectively into their existing development processes.
According to KPMG’s Global Tech Report 2024, only 31% have successfully scaled AI beyond pilot phases. This limited scalability often stems from a fundamental organizational misalignment — specifically, the separation of AI leadership, centers of excellence, and data management. As banks attempt to navigate this complex landscape, a new perspective is emerging — one that recognizes the Chief Data Officer (CDO) as the natural evolution toward a Chief AI Officer.
This shift isn't merely semantic but represents a strategic realignment necessary for banks to overcome implementation challenges and drive meaningful AI transformation. With their comprehensive understanding of banks data ecosystem, the CDO is uniquely positioned to lead this transformation, ensuring AI initiatives are built on solid foundations rather than technological quick fixes.
Read the report below to get all the insights.
