Group 1 - The article emphasizes the importance of capturing "hidden data" in investment models, which are not limited to traditional financial metrics but require advanced AI and non-linear algorithms for extraction [1][5] - It discusses the potential impact of biodegradable plastics on the environment and the economy, highlighting that while they can reduce fossil fuel consumption and carbon emissions, their improper disposal can lead to significant greenhouse gas emissions, particularly methane [2][3] - The article warns that replacing traditional plastics with biodegradable options could drastically reduce global corn production, leading to food shortages and social unrest, which are often overlooked in investment calculations [3][5] Group 2 - The text argues that investment in urban infrastructure often neglects the complex, non-linear data related to population movement, logistics, and externalities like noise pollution, which can affect project outcomes [3][5] - It points out that despite the availability of extensive data, many "hidden data" points remain elusive, and these can significantly influence long-term sustainability efforts [5][6] - The need for investment firms to enhance their data processing capabilities and utilize diverse tools like AI and neural networks to create knowledge graphs is highlighted as essential for extracting valuable insights from vast data sources [5]