In April 2024, Dataiku and Cognizant surveyed 200 senior analytics and IT leaders from large enterprises worldwide. The results revealed a significant gap between what CIOs aim to achieve with Generative AI (GenAI) and analytics — and what they can realistically deliver. Security risks, scalability limitations, fragmented data, and tool overload are among the biggest obstacles holding organizations back.
The infographic below breaks down these four core challenges and provides actionable strategies for overcoming them. By addressing these barriers, CIOs can protect their data, accelerate innovation, make smarter decisions, and maintain a competitive edge in a rapidly evolving market. Discover how top-performing CIOs are closing the execution gap — not just by increasing budgets, but by resolving key operational hurdles to ensure their analytics and AI investments deliver measurable outcomes.
-1.png?width=700&height=4199&name=4_Core_Challenges_AI_Success_OnePager_Delivery%20(1)-1.png)