Week 1-What wiil be the problem you plan to solve with AI?
In this modern era, AI emerges as a powerful tool to confront the pressing challenges of environmental degradation and climate change. AI helps to provides potential methods to tackle environmental degradation and climate change. Machine learning algorithms use predictive analytics to correctly estimate air pollution levels, allowing authorities to undertake targeted measures. Furthermore, AI improves the integration of renewable energy sources by assessing demand patterns and weather conditions, increasing their use while decreasing dependency on fossil fuels. In disaster management, AI will be able to determine any early detection and reaction, reducing the effect of natural disasters like hurricanes and wildfires .
Through its capabilities in monitoring agricultural practices and deforestation operations, AI empower us to take proactive step towards conservation. By analyzing satellite imagery and other data sources, AI can identify areas at risk and recommend strategies for sustainable land use(GO, 2022). Furthermore, AI allows for the tracking of carbon emissions, the identification of sources, and the recommendation of reduction methods, all of which contribute to the transition to a more environmentally friendly future ((Dwivedi et al., 2022).
By leveraging AI in these areas, environmental concerns are able to be addressed effectively and mitigate the global effects of climate change. Through data-driven insights and proactive interventions, AI empowers decision-makers to make informed choices that promote sustainability and protect our planet for future generations.
References
Dwivedi, Y. K., Hughes, L., Kar, A. K., Baabdullah, A. M., Grover, P. S., Abbas, R., Andreini, D., Abumoghli, I., Barlette, Y., Bunker, D., Kruse, L. C., Constantiou, I. D., Davison, R. M., Dé, R., Dubey, R., Fenby-Taylor, H., Gupta, B., He, W., Kodama, M., . . . Wade, M. (2022). Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action. International Journal of Information Management, 63, 102456. https://doi.org/10.1016/j.ijinfomgt.2021.102456
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