On November 4, 2025, the “AI + Public Services Technology Forum Series (Part II),” jointly organized by Cyberport, the Digital Policy Office (DPO), the Hong Kong Productivity Council (HKPC), and the Hong Kong Science and Technology Parks Corporation (HKSTP), was successfully held. Themed “New Drivers of Decision-Making: Knowledge Work × Data Insights Powering Innovation,” the forum adopted a hybrid online and in-person format, attracting thousands of government agency representatives and bringing together industry leaders and technology companies to explore how artificial intelligence can empower the advancement and sustainable development of public services. The forum’s themes aligned closely with the AI development priorities set out in Hong Kong’s Policy Address, with a shared focus on leveraging AI to enhance government efficiency, strengthen disaster prevention and mitigation capabilities, and drive concrete progress in areas such as AI-enabled public administration and the development of “AI+” and data science industries.
Building a Climate-Smart Hong Kong:
A Framework for Climate Risk Mitigation and Resilience
In the “Data Analytics and Forecasting” thematic session, YoujiVest was invited to deliver a keynote presentation titled “Building a Climate-Smart Hong Kong: A Technology-Driven Framework for Climate Risk Mitigation and Resilience,” showcasing the core capabilities and industry applications of its proprietary climate risk model, YoujiCRMS.
Mainstream climate risk models today face significant limitations when addressing complex risk environments. At the data layer, models commonly suffer from missing historical disaster data and inadequate local coverage, with resolution typically limited to the national level. This makes it impossible to pinpoint asset-level risk accurately, and assessments often ignore a company’s global operational footprint by evaluating only the risks at its headquarters location. At the model architecture layer, disaster coverage is limited, with insufficient analysis of emerging risks such as wildfires and extreme heat. Models also struggle to effectively account for the inherent uncertainty of climate change and lack the flexibility to generate integrated multi-pathway scenarios (such as the IPCC’s RCP and SSP frameworks). At the application layer, rigid analytical frameworks cannot adapt to the specific characteristics of different industries, leaving quantitative outputs unable to support differentiated decision-making. These limitations leave traditional models facing serious challenges in precise risk quantification, forward-looking strategy development, and cross-industry adaptability.
In response to these challenges in existing climate risk models, YoujiVest has developed YoujiCRMS, an industry-leading climate risk model that delivers three core advantages: high precision, multi-scenario analysis, and end-to-end coverage.。
1. 5-Meter × 5-Meter Ultra-High Resolution Analysis
YoujiCRMS integrates satellite remote sensing, GIS geospatial data, and AI algorithms to deliver climate risk simulations at the highest precision available globally, supporting granular risk assessment for urban buildings, infrastructure, and even individual assets.
2. Multi-Dimensional Scenario Compatibility
The platform comprehensively covers internationally recognized scenario frameworks, including the IPCC’s SSP-RCP pathways and NGFS policy scenarios, enabling simultaneous assessment of physical risks (such as typhoons and floods) and transition risks (such as carbon pricing and regulatory compliance), and supporting cross-cycle decision-making from short-term early warning to long-term strategic planning.
3. Industry-Tailored Solutions
Through flexible API integration, YoujiCRMS adapts to the differentiated needs of sectors such as finance, insurance, and real estate. The model has been successfully deployed in client engagements with companies including Kerry Properties and China State Construction International (CSCEC), helping clients quantify asset exposure, optimize insurance strategies, and strengthen ESG disclosure.
In its industry practice spanning from risk quantification to resilience building, YoujiVest has delivered deeply tailored climate risk solutions across multiple sectors through the YoujiCRMS platform. In the banking sector, the platform provided model support for the Hong Kong Monetary Authority (HKMA) climate risk stress test, integrating NGFS climate scenarios with macroeconomic drivers to quantify credit risk volatility for high-carbon-emission industries under transition scenarios. This helps banks assess changes in asset quality and meet regulatory disclosure requirements.
In the insurance sector，YoujiCRMS leverages high-resolution disaster simulations to optimize catastrophe bond pricing. For example, the platform performs dynamic loss probability modeling for Florida hurricane events, combining building distribution profiles with disaster trajectory backtracking technology to significantly improve underwriting precision and risk transfer efficiency.
In the infrastructure and real estate sectors， the platform supports companies such as China State Construction International in aligning with disclosure frameworks including TCFD and IFRS S2. By identifying climate-sensitive nodes across the full project lifecycle, the platform enables the development of resilient construction strategies that embed both physical and transition risk into project management systems, achieving the leap from compliance-driven disclosure to active value creation.
These applications demonstrate how climate risk quantification technology can empower industries to build systemic resilience, and how climate-intelligent decision-making can become a core element of business operations. YoujiVest’s presentation at the forum not only highlighted the strategic value of climate technology in public services but also underscored the critical role of data-driven decision-making in addressing systemic risk. Looking ahead, YoujiVest will continue to deepen its collaboration with governments and financial institutions, working to establish intelligent climate risk management as a standard component of urban resilience strategies.
