  This chapter provides a comprehensive overview of the pragmatic aspects
involved in organizing AI competitions. We begin by discussing strategies to
incentivize participation, touching upon effective communication techniques,
aligning with trending topics in the field, structuring awards, potential
recruitment opportunities, and more. We then shift to the essence of community
engagement, and into organizational best practices and effective means of
disseminating challenge outputs. Lastly, the chapter addresses the logistics,
exposing on costs, required manpower, and resource allocation for effectively
managing and executing a challenge. By examining these practical problems,
readers will gain actionable insights to navigate the multifaceted landscape of
AI competition organization, from inception to completion.

Machine Learning