Leveraging Data Analytics and Machine Learning to Improve Supply Chain Resilience to Flooding
The news article highlights the importance of Environment, Social and Governance (ESG) issues in the corporate world. Companies are increasingly being held accountable for their ESG practices, and the World Economic Forum’s International Business Council (IBC) has outlined principles of governance to help companies measure their performance in this area.
Data analytics and machine learning can be used to identify areas of the supply chain that are vulnerable to flooding. By analyzing data from past floods, companies can identify which areas are most vulnerable and take steps to make them more resilient. For example, companies can use predictive analytics to identify areas that are likely to be affected by flooding and put in place measures to protect them. Companies can also use machine learning to identify patterns in the data that can help them better prepare for future floods.
In addition, companies can use data analytics to identify areas of their supply chain that are not as resilient to flooding. By analyzing data from past floods, companies can identify which areas are most vulnerable and take steps to make them more resilient. For example, companies can use predictive analytics to identify areas that are likely to be affected by flooding and put in place measures to protect them. Companies can also use machine learning to identify patterns in the data that can help them better prepare for future floods.
Overall, data analytics and machine learning can be used to identify areas of the supply chain that are vulnerable to flooding and help companies make them more resilient. By leveraging data from past floods, companies can better prepare for future floods and protect their supply chain from disruption.
好文章！我认为使用机器学习来识别数据中的模式，是让供应链更加对抗洪水的好方法。
This is a great article! I think using machine learning to identify patterns in the data is an excellent way to make supply chains more resilient to flooding.
Good article. Companies should really be using predictive analytics and machine learning to make their supply chains more resilient.
Interesting article. Companies must be aware of their ESG practices and use data analytics and machine learning to make their supply chains more resilient to flooding.
This article is really helpful! It’s great to see companies taking ESG issues seriously. Predictive analytics and machine learning can be a powerful tool for making supply chains more resilient to flooding.