By Topic
This course will dive in the overall progress of the current global Artificial Intelligence technology status and its the future possibilities; the Cloud Computing development and its trends; the Big Data industry, technology and development; the innovative development of new infrastructure in the digital economy, and the practices such as digital infrastructure, computing infrastructure, follow-up broadband network, IPv6 etc
Este curso de Auditor铆a de un Centro de Datos busca desarrollar las competencias necesarias para auditar centros de datos de nivel empresarial, conforme a los est谩ndares y mejores pr谩cticas internacionales.
En este curso intermedio, los participantes aprender谩n a evaluar los requisitos para optimizar el rendimiento, asegurar la continuidad operativa, implementar soluciones de alta disponibilidad y garantizar la eficiencia energ茅tica de un centro de datos.
This course focuses on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It covers Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course includes IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data.
As part of the project on capacity development to accelerate school connectivity under the umbrella of the 麻豆社视频 and through the Giga Learning Hub, ITU will host a face to face training to introduce the methodology to measure gaps in ICT infrastructure and for connectivity business planning. It aims to improve the theoretical and practical skills of participants in collecting ICT infrastructure data, identifying underserved areas, applying GIS tools, and using connectivity models to test and compare selected connectivity scenarios.
Data is crucial in policymaking, public service delivery, and development, informing decisions regarding program design, resource allocation, and the evaluation of interventions. Despite its potential, governments and policymakers risk not capturing the full value of data when there are no clearly defined processes and rules for how data is managed within and across institutions. Establishing and implementing a data governance framework can ensure transparency, accountability, and public trust.
This course focuses on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It covers Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course includes IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data.
This training aims to strengthen the capacity of countries to produce ICT indicators and statistics according to international standards and methodologies. It is intended to assist national statistical offices in collecting and compiling ICT statistics on the access and use to ICTs by households and individuals, by providing guidance on the collection, processing, evaluation and dissemination of ICT household statistics.
The training aims to strengthen the capacity of countries to produce ICT indicators and statistics according to international standards and methodologies. It presents the main groups of telecommunication/ICT indicators collected and the different questionnaires as well as the definition and methodologies of the indicators following the ITU Handbook for the collection of administrative data on telecommunications/ICT. Examples provided address data gaps and challenges faced by countries and suggests possible solutions.
This course aims to raise awareness of what Mobile Phone Data is and to showcase how it can be applied at a National Statistical Organisation (NSO). Information will be shared on how to obtain Mobile Phone Data, plus the opportunities and challenges it presents for incorporating its use at the NSO. The course has been developed by the Task Team on Mobile Phone Data of the UN Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD).