Many AI initiatives fail to deliver expected outcomes, with reports indicating that 95% of organizations see no return on significant investments. CIOs are urged to ask strategic questions regarding desired outcomes, risk appetite, and data readiness for AI projects. By defining clear goals and aligning AI usage with business priorities, organizations can enhance the value generated from AI.
Ensuring data is prepared and secure for AI applications is fundamental, as many leaders acknowledge not having necessary security measures in place. Furthermore, balancing innovation with trust requires transparent communication with all stakeholders, emphasizing both internal and external reassurances about AI use. The success of AI also relies heavily on integrating adequate risk controls and exploring how much decision-making to delegate to AI systems, which continues to evolve as technologies advance.
👉 Pročitaj original: CIO Magazine
