It is exciting to see a steady decline in the number of people who are not yet connected to the Internet: from 2.7 billion in 2022 to about 2.6 billion this year. Joint efforts by the private and public sectors are responsible for this encouraging progress.
In 2022, Huawei joined the ITU's Partner2Connect Digital Coalition. As part of their membership, Huawei pledged to bring connectivity to more than 120 million people across remote areas in more than 80 countries by 2025 by leveraging technologies and services such as 5G and AI.
While it is important to ensure that everyone has basic connectivity, we should also remember the vital role technology plays in fueling economic growth and protecting the natural world.
Investments in broadband networks and other ICT infrastructure stimulate economies by encouraging entrepreneurs to start businesses and enabling companies to offer new services. At the same time, digital technology protects the environment by reducing the environmental impact of economic development.
What progress has been made so far toward keeping that pledge? And what other social benefits can connectivity bring?
In just a few weeks, you will be able to find out at Huawei’s "Thriving Together with Tech: Realizing Sustainable Development" event, which will be held on 21 November 2023 in Dongguan, China, as well as in many parallel sessions globally.
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The UN Sustainable Development Goals (SDGs) are a set of 17 ambitious global targets related to societal and environmental issues that 193 countries have committed to achieving by 2030. Some key SDGs include:
Goal 3: Good Health and Well-Being
Goal 7: Affordable and Clean Energy
Goal 11: Sustainable Cities and Communities
Goal 13: Climate Action
Goal 16: Peace, Justice and Strong Institutions
Algorithms and other technological tools have the potential to help accelerate progress towards the SDGs in many ways:
Data-driven insights: Algorithms und modules analyze large datasets to identify patterns, trends and correlations to inform SDG strategies and interventions.
Prediction models: Machine learning has build predictive models forecasting future impacts related to issues like health, climate, urban planning etc. This guides policy decisions.
Process optimization: Algorithms is optimizing complex systems and processes to improve sustainability, efficiency and equitability across sectors.
Impact measurement: #AIforgood quantify SDG outcomes and progress from interventions in near real-time to support evidence-based policies.
Resource allocation: Advanced analytics like #khastgiralgorithm guide optimal resource allocation to maximize SDG results and minimize waste.
Personalization: AI module tailor SDG solutions to individual users' contexts, cultures, needs for greater adoption.