tech
How Watershed’s AI Manages Emissions Data for Companies
Watershed's Yubing Zhang explains how the platform uses AI to help organisations measure emissions and identify decarbonisation opportunities
TL;DR
- Watershed is a sustainability AI platform that helps companies measure, report, and reduce their environmental impact.
- The platform consolidates operational, ESG, and emissions data, applying climate methodologies to generate insights and action plans.
- AI in sustainability is essential for handling complex data, identifying inefficiencies, mitigating supply chain risks, and gaining a competitive advantage.
- Purpose-built sustainability AI requires a strong data foundation, embedded sustainability intelligence, and safeguards for transparency and auditability.
- Watershed uses AI for data ingestion, cleaning, analysis, reporting, and product footprinting, significantly reducing the time spent on these tasks.
- AI is best applied to repetitive tasks at scale, bottlenecked workflows, and outputs that can be reviewed and validated, while human expertise remains vital for strategic decisions and high-risk areas.
- Domain-specific AI for sustainability is necessary for methodology context, consistency, auditability, and reliability under scrutiny.