Regulatory mandates such as the Corporate Sustainability Reporting Directive (CSRD) now require corporations to deliver unprecedented transparency and accountability with speed and accuracy that manual processes increasingly struggle to support. This paper outlines how Siemens leverages AI and advanced data analytics to translate complex environmental challenges into data-driven solutions for environmental management and sustainability reporting.
The impact of these AI-enabled solutions becomes evident in deployment in our own operations: Siemens Environmental Reporting Assistant (SERA) automates water risk assessments, significantly reducing evaluation time while maintaining human oversight; Siemens Environmental Knowledge Graph (SiEKG) integrates fragmented hazardous substance data through intelligent and reliable estimations, enabling comprehensive reporting despite fragmented and heterogeneous source data.