A new methodology for sizing AI/ML projects focuses on business outcomes rather than solely on model development. This approach emphasizes starting with key business KPIs and working backward to define actionable outcomes that models will support. The method then maps data flows and model dependencies, categorizing them by operational cadence (real-time, daily, etc.) to create a more realistic and repeatable estimation process. AI
IMPACT Provides a structured approach to estimating AI/ML project costs and timelines, potentially improving project success rates.
RANK_REASON The cluster describes a methodology for sizing AI/ML projects, which falls under research into project management and development practices. [lever_c_demoted from research: ic=1 ai=0.7]
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