Ecognos – an Intelligent System For Environmental Risk Assessments скачать в хорошем качестве

Ecognos – an Intelligent System For Environmental Risk Assessments

This session will present a novel methodology for AI-enabled nature risk assessment that aligns with the TNFD’s Disclosure, Impact, Risk, and Opportunities (DIRO) framework. It integrates an ontology-aligned evidence base, geo-spatial context, sector environmental impact pathways, and a knowledge graph to characterize and quantify environmental risk at the corporate and asset levels. The approach addresses a major gap in current practice: conventional assessments struggle to connect heterogeneous environmental data, causal impact pathways, and unstructured data buried in documents to yield decision-ready insights at scale. By combining semantic ontologies with spatial datasets and graph-powered reasoning, this session will demonstrate how AI can systematically uncover, quantify, and visualize nature dependencies and impacts. Participants will gain a clear understanding of how to integrate AI into robust, evidence-based nature risk assessments into your practice that align with project finance requirements and global sustainability reporting frameworks. This session is designed for environmental consultants, sustainability practitioners, and policymakers seeking tools to enhance decision quality around biodiversity and ecosystem dependencies.