Page 40 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report
P. 40

Crowdsourcing AI and Machine Learning solutions for SDGs



                      15  Impact


                      The ITU AI/ML Challenge has had some impact on the field of AI/ML, SDGs, and communication
                      networks. Some areas where the challenge has made contributions includes:


                      15.1  Advancing Technological Innovation

                      The ITU AI/ML Challenge has catalysed technological innovation by encouraging participants
                      to develop cutting-edge solutions for real-world problems. This has led to significant
                      advancements in AI/ML applications within communication networks, including energy
                      consumption optimization, network management, and security enhancements.


                      15.2  Promoting Global Collaboration

                      The challenge has fostered a global community of AI/ML practitioners, bringing together experts,
                      researchers, students, and industry professionals from over 100 countries. This international
                      collaboration has enabled the sharing of knowledge, resources, and best practices, promoting
                      a collective effort to tackle complex challenges.


                      15.3  Enhancing Practical Skills

                      Through hands-on workshops, technical webinars, and mentoring sessions, the ITU AI/ML
                      Challenge has provided participants with practical experience in developing and deploying
                      AI/ML models. This capacity-building effort has equipped participants with valuable skills that
                      are directly applicable to their professional and academic pursuits.

                      15.4  Contributing to Standards Development


                      The challenge has facilitated the integration of innovative solutions into ITU standards, ensuring
                      that new technologies are effectively standardized and widely adopted. Participants' contributions
                      have influenced the development of technical specifications and recommendations, particularly
                      in the areas of 5G and autonomous networks. Participants of the challenge also contribute to
                      the work of regional groups such as the Study Group (SG) 13 regional group for Africa


                      15.5  Addressing SDGs

                      By focusing on problem statements related to the United Nations Sustainable Development
                      Goals, the ITU AI/ML Challenge has supported efforts to address global challenges such as
                      climate change, environment, health, and sustainable urban development. Solutions developed
                      through the challenge have had tangible impacts on advancing these critical goals.


                      15.6  Recognizing and Rewarding Excellence

                      The challenge has provided substantial incentives to participants, including over 127,731 CHF
                      in prize money, certificates of recognition, and opportunities to present their work at prestigious
                      conferences. These rewards have not only motivated participants but also highlighted their
                      contributions to the broader AI/ML and communication networks communities.






                  32
   35   36   37   38   39   40   41   42   43   44   45