How do you navigate conflicting stakeholder expectations in an AI project timeline?
Navigating conflicting stakeholder expectations is a common challenge in Artificial Intelligence (AI) projects. These projects often involve complex timelines that can be difficult to manage when different stakeholders have varying demands and visions. The key to success lies in balancing these expectations without compromising the project's objectives or timeline. In this article, you'll discover strategies to handle these challenges effectively, ensuring your AI project stays on track.
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Communicate proactively:Regular updates and transparency about AI project complexities build trust. Keep stakeholders in the loop—no jargon, just clear language that prepares them for possible twists and turns.
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Plan for Murphy's Law:When estimating timelines for AI projects, double your initial projection. This buffer allows room to navigate unexpected hiccups and provides extra time to refine the project if things go smoothly.