Contributions
[ AI/Question: Q1/2 ]  |
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Numéro
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Titre
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Source
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AI/Question
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Date
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[ 337 ]
|
Extracted lessons learned from contributions to ITU-D Study Group 2 Questions (third meeting of ITU-D Study Group 2)
|
Telecommunication Development Bureau
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Q7/2, Q6/2, Q5/2, Q4/2, Q3/2, Q2/2, Q1/2
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2024-11-06 |
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[ 331 ]
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Open Source Ecosystem Enabler (OSEE) training framework
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BDT Focal Point for Question 1/2
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Q1/2
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2024-10-29 |
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[ 329 ]
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Egypt capacity building centre for African countries (EG-ATRC)
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Egypt
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Q5/2, Q4/2, Q3/2, Q1/2
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2024-10-29 |
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[ 295 ]
(Rev.1) +Ann.1 |
Al for Good, bridge the AI divide
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China (People's Republic of)
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Q7/1, Q6/2, Q5/2, Q2/2, Q1/2
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2024-10-22 |
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[ 294 ]
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The application of artificial intelligence large models in the field of smart cities
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China (People's Republic of)
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Q1/2
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2024-10-22 |
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[ 289 ]
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India's AI Mission
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RIFEN
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Q1/2
|
2024-10-17 |
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[ 277 ]
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Draft Output Report on ITU-D Question 1/2
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Rapporteur for Question 1/2
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Q1/2, OR
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2024-10-30 |
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[ 270 ]
|
Smart city models adapted to developing countries
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RIFEN
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Q1/2
|
2024-09-29 |
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[ 261 ]
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Digital government procurement system in the Syrian Arab Republic
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Syrian Arab Republic
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Q2/2, Q1/2
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2024-09-23 |
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[ 248 ]
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National digital strategy Intelligent Bhutan
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Bhutan
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Q2/2, Q1/2
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2024-09-17 |
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[ 243 ]
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National interoperability framework for a unified, effective e-government system: Improving the quality of life of the Malagasy public through digital health, education and public security services
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Madagascar
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Q2/2, Q1/2
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2024-09-13 |
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[ 238 ]
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Progress on the e-government contribution
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DR Congo
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Q1/2
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2024-09-04 |
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[ 227 ]
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Annual progress report for Question 1/2 for November 2024 meeting
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Rapporteur for Question 1/2
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QALL/2, Q1/2, PR
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2024-10-25 |
Resultats:13 documents
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Téléchargement de multiples documents: Formats et langues à prendre en compte (si disponibles):
