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AI for Good Innovate for Impact
Use Case 22: Polar Eco-Carbon Intelligence Platform (PECIP): an
AI-Driven ESG Project for Climate Action and Global Sustainability
Organization: The Cooperative Open Intelligent Computing Industry Alliance (Joint submission
with Polar Research Institute of Hong Kong & Intel)
Country: Hong Kong SAR, China
Contact Person:
Primary: Jun Wang, service@ coia .ai
Secondary: Wei Meng, mengwei@ coia .ai
1 Use Case Summary Table
Item Details
Category Climate Change/Natural Disaster
Problem Addressed Traditional methods of monitoring the polar regions face significant chal-
lenges due to the unique characteristics of these environments, as well
as the complexity of the processes involved, such as limited accessibility,
sparse and inadequate data, high costs, delayed data processing, inad-
equate early warning systems.
We deploy or utilize various data collection sensors in the polar regions
to transmit data to an AI platform for predicting climate change in the
polar regions. For AI platforms, we use the open source project OPEA
(Open Platform for Enterprise AI), deploy PyTorch, and perform enhanced
pre training and fine-tuning on open source LLMs (LLaMa or DeepSeek).
[4] [5] For real-time data, we use RAG for real-time data synchronization.
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