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including watercourse, elevation, vegetation so, do we have communities living in specific areas? rainfall patterns. so it is every single geographic data set, as well as data sets from the sensors in order for it to learn and develop the predictive mechanisms to be able to inform where these incidents are occurring and the likelihood and, indeed, when they would occur as well. it s one thing to be able to predict a pollution event, but do you think we re really in a position then to try and stop it? it s a lot easier to prevent it than actually try to sort of deal with it once the incident s occurred. we are planning to showcase this model as part of cop28. at the moment, we ve launched a project in south africa that will use some of the data sets here and the learnings from this project to roll out a similar project in south africa. and so, we want to very much
rainfall patterns. so it is every single geographic data set, as well as data sets from the sensors in order for it to learn and develop the predictive mechanisms to be able to inform where these incidents are occurring and the likelihood and, indeed, when they would occur as well. it s one thing to be able to predict a pollution event, but do you think we re really in a position then to try and stop it? it s a lot easier to prevent it than actually try to sort of deal with it once the incident s occurred. we are planning to showcase this model as part of cop28. at the moment, we ve launched a project in south africa that will use some of the data sets here and the learnings from this project to roll out a similar project in south africa. and so, we want to very much showcase the role of technology for climate action, notjust mitigation,
in the rivers or not, whether people are going to potentially get ill. tech firm cgi brings all the data together from the sensors to help create an ai model. we ll give it all of the geographic information, including watercourse, elevation, vegetation so, do we have communities living in specific areas? rainfall patterns. so it is every single geographic data set, as well as data sets from the sensors in order for it to learn and develop the predictive mechanisms to be able to inform where these incidents are occurring and the likelihood and, indeed, when they would occur as well. it s one thing to be able to predict a pollution event, but do you think we re really in a position then to try and stop it? it s a lot easier to prevent it than actually try to sort of deal with it once the incident s occurred. we are planning to showcase this model as part of cop28.
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