Page 39 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report

Crowdsourcing AI and Machine Learning solutions for SDGs

14 Benefits

14.1 Benefits for partners and collaborators

The Challenge offers partners the following (see sponsorship package for details):
• The visibility afforded to partners and collaborators will continue throughout the
Challenge, from the Challenge announcement through to the Challenge Grand Finale.
• Collaborative feedback from the Challenge for partners: learnings from the Competition
phase and Challenge Grand Finale may be looped back into the partner organizations
for further advancements in technology.
• Publish the results in the “ITU Journal: Future and evolving technologies” (subject to
acceptance).

14.2 Benefits for Participants

• Shape the future: Opportunity to define, provide inputs, and shape the technologies
related to SDGs and communication networks.
• Create your network: Network with ITU experts and peers.
• Be practical: Platform to gain hands-on experience related to AI/ML and concepts related
to SDGs and communication networks.
• Be known: Gain global recognition in the form of prizes, appreciation, and publications of
the results in the ITU Journal: Future and evolving technologies (subject to acceptance).
• Enact your dreams: Receive support to implement use cases and technology ideas using
software and access to platforms, e.g. cloud credits and licenses.
• Be social: Solutions targeted at socially relevant issues may be selected for presentation
and demonstration at the AI for Good Global Summit.

14.3 Special Benefits for Certain Sponsor Categories

• Mentoring throughout the Challenge
• Mentoring for post-processing and publishing the results.
• Workshop presentation slots
• Co-branding of the ITU AI/ML Challenge or its constituent tracks.
• Channelling curated output to the sponsoring organization in the form of skills,
presentations, standards, open-source, and academic and industry partnerships.

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