ChinaFinance and insurance2024 – ongoingPICC Property and Casualty Company Limited
Deep-learning disaster monitoring and agricultural risk assessment
PICC reported nearly 200,000 annual IoT warnings from its disaster-monitoring platform
Problem
Disaster-risk monitoring required observations across widely dispersed insured assets. Agricultural insurance also required information about crop conditions and damage.
Approach
PICC combined satellite observations, drone surveys and IoT monitoring with deep-learning models in an operating warning platform. Its Guangdong agricultural insurance operation used remote sensing to assess crop conditions and losses. IoT monitoring also used AI to identify pests and diseases.
Results
Takeaway
The warning count measured monitoring activity. PICC did not quantify the resulting reduction in insured losses for this platform.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Finance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLComputer vision
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
PICC described its disaster-monitoring platform and agricultural applications in Guangdong. It reported more than 38,000 connected IoT devices across 25 provinces and nearly 200,000 IoT warnings in the preceding year.
Full details are in the original sources.