As AI technology becomes more advanced and organizations face growing demands with limited resources, thoroughly assessing readiness before initiating projects is more critical than ever to ensure successful deployment and maximize value.
“AI project failures are often linked to poor project management and planning. The main challenges include insufficient alignment with stakeholders, ineffective management of change and risk, and the absence of strong data management strategies. Many organizations struggle with planning, and even when AI projects are delivered on time, they often fail to meet the expected business outcomes. This is exacerbated by a shortage of skilled personnel and ineffective communication between teams”