Sustainable Development Goals

Sustainable Development Goals (SDGs) are a set of 17 global goals adopted by the United Nations General Assembly in 2015 as a universal call to action to end poverty, protect the planet and ensure that all people enjoy peace and prosperity by 2030. Data science plays a crucial role in achieving the SDGs by providing insights into the progress made towards achieving the goals, identifying areas that require attention, and measuring the impact of interventions. Data science techniques such as machine learning, natural language processing, and data visualization are used to analyze large and complex datasets to generate actionable insights that inform policy decisions and interventions. The use of big data and artificial intelligence can also help to identify patterns and trends that can inform the development of targeted interventions and policies that address the root causes of poverty, inequality, and environmental degradation.

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Complex Event Processing: Complex Event Processing (CEP) is a method of tracking and analyzing real-time data from various sources to identify patterns and relationships and derive insights. It involves processing and correlating large volumes of data from multiple ... Read More >>
Connected Vehicle Technologies: Connected Vehicle Technologies refer to the integration of vehicles with communication technologies and the internet, allowing them to exchange data with other vehicles, infrastructure, and the cloud. This technology enables vehicles to com ... Read More >>
Energy Efficiency: Energy efficiency refers to the use of technology and processes to reduce the amount of energy required to provide products and services. In the context of data science and artificial intelligence, energy efficiency can be achieved through ... Read More >>

Sustainable Development Goals

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