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Why AI is a game-changer for ESG reporting

Posted: Tue Dec 24, 2024 4:11 am
by Rajumn412
Scalability : As ESG data requirements grow, AI enables companies to meet these demands without requiring exponentially more resources.

Real-world applications of AI in ESG reporting
This isn’t just theory: companies are already leveraging AI in their ESG efforts. Here are some practical examples:

Carbon Emissions Tracking : AI models in high-emission industries monitor carbon footprints, ensuring targets are met and reported accurately.

Social Impact Assessment : Companies use AI to analyze employee surveys and community feedback, gauge social impact, and identify areas for improvement.

Monitoring supply chain practices : Using BI and ESG analytics , AI identifies potential ESG risks in supply chains, ensuring companies maintain ethical and sustainable sourcing.

AI brings tangible benefits to ESG reporting that go beyond efficiency.

Improving data quality : By reducing human error and ceo email list standardizing processes, AI ensures ESG data is accurate, timely and consistent, boosting stakeholder confidence.

Greater transparency : The development of AI-powered ESG platforms fosters transparency by presenting data in an accessible way. With clear visualizations, companies can showcase their commitment to ESG principles at a glance.

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