How MIMs can help cities and communities make the best of digital investments

Channel:
Subscribers:
20,600
Published on ● Video Link: https://www.youtube.com/watch?v=IFRDxChLakM



Duration: 0:00
30 views
1


This session provides concrete examples from the ground on how minimal interoperability helps cities and communities procure and deploy emerging technologies, regardless of size and resource. As data and digital services become central to delivering a safe, inclusive, sustainable, and prosperous future for citizens, local administrations face severe challenges when procuring and maintaining digital systems. From planning to safety, optimizing service delivery is key, and various technologies—such as artificial intelligence, digital twins, the metaverse, and the Internet of Things—are touted as necessary next steps. However, how can these advancements be integrated amidst numerous legacy systems, traditional staff organization, and contracts that limit future flexibility, all while resources are scarce? Additionally, what about the political decision-making power and the needs of citizens? Minimal Interoperability Mechanisms (MIMs), a new ITU standard (Y.4505), describe how systems can collaborate across the complexities of cities and communities without locking administrations into a single system or vendor.


Speaker:
Martin Brynskov, Founding Board Director, Open & Agile Smart Cities & Communities (OASC)

Join the Neural Network!
👉 https://aiforgood.itu.int/neural-network/
The AI for Good networking community platform powered by AI.
Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.

🔴 Watch the latest #AIforGood videos!


📩 Stay updated and join our weekly AI for Good newsletter:
http://eepurl.com/gI2kJ5

🗞 Check out the latest AI for Good news:
https://aiforgood.itu.int/newsroom/

📱 Explore the AI for Good blog:
https://aiforgood.itu.int/ai-for-good-blog/

🌎 Connect on our social media:
Website: https://aiforgood.itu.int/
Twitter: https://twitter.com/AIforGood
LinkedIn Page: https://www.linkedin.com/company/26511907
LinkedIn Group: https://www.linkedin.com/groups/8567748
Instagram: https://www.instagram.com/aiforgood
Facebook: https://www.facebook.com/AIforGood

Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.




Other Videos By AI for Good


2024-12-10AI-Generated Draft Replies Integrated Into E-Health Records & Physician-Patient Communication
2024-12-03Wavecontrol EMF human exposure test instruments: How they relate to ITU-T Standards
2024-12-03Pangu AI Meteorological Model for climate change
2024-12-03Shaping AI Standards for Climate Response and Disaster Management
2024-12-03ITU-T norms and deliverables: Towards a SMARTer connectivity in Portugal
2024-12-03Use Cases of the Implementation and Adoption of ITU-T Recommendations by the TTA
2024-12-03QoS from Space – Potential QoS assessment of Direct-To-Cell (D2C) Networks
2024-12-03Toward robust surrogate components of land surface states for hybrid earth system models
2024-12-03Digital Agriculture: Establishing AI Standards for Global Food Security
2024-12-03AI and Sustainable Urbanization for Good
2024-12-02How MIMs can help cities and communities make the best of digital investments
2024-11-26Revolutionize Social Good with AI: The Biggest Multiplier for Change
2024-11-25Exploring the role of open-source AI in standardizing digital public goods
2024-11-24AI for Good Innovation Factory Baltics
2024-11-24UN Day: Digital Wave Stage WTSA-24
2024-11-19AI-powered exoskeletons revolutionizing rehabilitation and mobility
2024-11-19World Children’s Day: A Global View of Current Practices for Children and Digital Environments
2024-11-19Robotics for Good Youth Challenge
2024-11-13AI in Hollywood: A conversation with Duncan Crabtree-Ireland, Chief Negotiator, SAG-AFTRA
2024-11-12Shaping tomorrow’s plates: The future of food with AI
2024-11-08AI/ML Challenge Finale: Radio Resource Management for 6G and Multi-user scheduling in massive MIMO