Want to make smarter, faster decisions for biodiversity and sustainability? Register below to participate!
If you work in conservation, ESG, or environmental science, you know the challenge: fragmented data, slow reporting, and limited visibility across species, habitats, and risk factors.
In this interactive webinar, we’ll show you how harmonised data architecture and knowledge graphs can bring it all together — helping you track wildlife, improve biodiversity assessments, and strengthen ESG reporting.
You’ll also get a live demo of rECOmentor, a tool built to support real-world decision-making.
This is what we’ll cover:
Connecting the dots: How knowledge graphs integrate ecological, spatial, and ESG data to solve complex, cross-sector challenges.
Better classification, better tracking: The role of taxonomies in classifying species and habitats, ensuring accurate biodiversity tracking.
Reducing human-wildlife conflict: How prediction models and harmonised data architecture can anticipate species movements and reduce human-wildlife conflicts, specifically in the context of brown bears.
Stronger ESG performance: Use AI-driven analysis to identify gaps and hidden risks in sustainability reports to enhance ESG compliance.
Ready-to-use datasets: Cut time and complexity with structured data you can actually work with.
If you're tasked with managing natural resources, producing ESG reports, or protecting biodiversity, this session is for you!
Speakers:
PhD. Albin Ahmeti (AI Researcher at Graphwise)
Pierre Roussel (Director of ESG Solutions / Product Manager for Recomentor (AI-Powered ESG Tool)