Recent findings indicate that the failure rate of cloud and AI projects is approximately three times higher than that of traditional IT projects, with delays attributed to skill gaps, unrealistic expectations, and challenges during execution. Many organizations struggle to find essential skills as 56% report their staff lack the necessary expertise, particularly in cloud and AI architecture. Companies often begin with inflated expectations, resulting in problematic requirements and delays in project initiation.
During project execution, 74% of companies experience questioning of the approach due to differing perceptions among stakeholders regarding cloud and AI roles. The key to resolving these issues lies in fostering collaboration and establishing clear communication between IT and business units. Organizations are encouraged to form dedicated teams for cloud and AI, comprising a diverse range of experts who can bridge the gap between technical capabilities and business objectives. This collaborative effort can guide companies in better understanding project goals and ultimately achieving successful implementation and adoption.
👉 Pročitaj original: CIO Magazine
