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Momin Ali
Momin Ali
AI Robotics Engineer
Published Feb 26, 2024
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Environmental, Social, and Governance (ESG) investing has become a top priority for investors worldwide. Companies are increasingly under pressure to demonstrate their commitment to sustainability, proper business conduct, and social responsibility. AI is poised to revolutionize how we approach ESG reporting, offering solutions to challenges around data collection, analysis, and disclosure.
Key Ways AI is Transforming ESG Reporting
Key Technologies to Focus On
Important Considerations and Challenges
The Future: AI-Powered ESG Reporting
AI is a game-changer for ESG. As these technologies evolve, expect these additional advancements:
An invitation to collaborate in creating an open-source compliance tool
Visit https://github.com/mominalix/AI-Powered-ESG-Compliance to checkout and contribute to an ongoing project on ESG compliance tool that leverages RAG to assess company's data to evaluate and suggest ESG friendly policies. The scope of this project extends to experiment integration of Graph Databases to mitigate the hallucination aspect of current models.
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Evan J Schwartz
Passionate Technical Leader Transforming the Environmental, Recycling, Transport, FinTech, EHSQ & ESG Industries | Entrepreneurial Problem Solver | Adjunct Professor | Board Member | Distinguished Author & Public Speaker
1mo
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Thanks for these insights, Momin. AI is revolutionizing ESG reporting by providing advanced analytics, enhancing data accuracy, and uncovering valuable insights. By leveraging AI, companies can streamline ESG data collection, improve transparency, and drive more informed decision-making.
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Doctor Project Y.
🧠 Merging AI Research & Strategy | Daily Empirical Insights that Drive Change | Founder & Tech Creative | 30+ Companies Guided
2mo
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Love the thoughtful approach to integrating AI into ESG processes! Can't wait to check out the GitHub project. Momin Ali
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Godwin Josh
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
2mo
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Your perspective on AI in addressing ESG challenges is insightful. You talked about the ongoing AI ESG compliance project on GitHub, emphasizing data integrity and ethics. In navigating this, how do you plan to incorporate AI mechanisms to ensure ethical considerations are deeply ingrained in the tool's decision-making processes? Now, envisioning a scenario where real-time updates on ESG metrics are critical, how would you technically structure the AI tool to handle dynamic data sources without compromising accuracy or sacrificing efficiency? Looking forward to your thoughts on this nuanced integration.
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