Corporations create ripples in the world around them. Their processes have an effect on the ecology, society, communities, and people. Once we are aware of this fact, we can take action to minimize harmful influences as well as to promote positive change around us.
The Problem with ESG Measurements
Unfortunately, to say that ESG ratings have a bad country email list reputation would be an understatement. You’ve probably heard about cases like Boohoo’s, the fashion retail overnight phenomenon. That’s one example out of many, but they all point to the same conclusion: ESG measurements can be extremely unreliable.
AI and Qualitative Assessments
Perhaps one of the biggest hurdles for improving ESG measurements is the fact that a lot of the information is qualitative in nature. News stories, social network without any precedent in german constitutional history discourse, and up-to-date reports are all sources of third-party information that can give an insight into the effect the company is having.
Unfortunately, the process of manually gathering and processing qualitative data is both time-consuming and error-prone. But thanks to AI and, more specifically, Natural Language Processing, it’s possible to speed up this process and automatically generate reports in real time.
IoT and ESGs
Data gathering has always been a pain buy lead in the neck. Ask any data scientist what their least favorite part of their job is and they will answer either data gathering or data cleaning (or both). Thankfully, the Internet of Things (IoT) is helping us in ways we couldn’t have imagined. On top of that, most corporations don’t have protocols for data collection, so the datasets are prone to errors.
