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In response to a changing business landscape, organizations in every industry are moving into compliance with environmental, social, and governance (ESG) frameworks. However, many find it challenging to gather the necessary data, meet reporting requirements, and manage ESG risks with the regularity and rigor required by their stakeholders. By using ESG Reporting & Disclosure solutions on AWS, those overseeing sustainability efforts can unify ESG data from multiple sources, simplify reporting, and help their organizations progress toward their sustainability targets.
The Altruistiq ESG Platform enables organizations to measure its carbon emissions at a very granular level, sets meaningful and standardised (e.g. SBTi) targets, automate reporting for multiple regulatory requirements, and manages initiatives for carbon reduction.
Persefoni took the best features from financial ERP systems and applied them to carbon accounting. The platform accounts for Scope 1, 2, and 3 emissions with compliance to the Greenhouse Gas Protocol and PCAF standards and is available for large enterprises, investment funds, and asset managers.
IBM Envizi ESG Suite is a comprehensive data and analytics software suite to collect, manage and derive insights from ESG data, including carbon accounting. It helps clients build a data foundation, streamline reporting and disclosures, accelerate decarbonization.
LiveEO's product TradeAware provides customers an end-to-end solution to deal with the new EU Deforestation Regulation. Among others, it includes: registration of suppliers' geolocations, deforestation risk analysis and detection through satellites' monitoring, compliance-proof reporting generation. Its insights can be accessed through the app or integrated into the clients most preferred software.
C3 AI ESG enables companies to improve their environmental, social, and governance performance by integrating all relevant internal and external data, automating reporting across disclosure standards, and tracking progress of ESG initiatives.
Clevvi's Viresgo is an architecture that can accept different types of data inputs and process them intelligently, quickly and effectively for use in ESG data collection, calculation and reporting. Viresgo offers flexible data ingestion options and organizes the data in a clear and consistent data format, harmonizing and consolidating from various sources and enabling the data to be transferred to specific reports and outputs (e.g., excel format, CSV, or to an API).
This Guidance demonstrates how to use Retrieval-Augmented Generation (RAG) for your environmental, social, and governance (ESG) or sustainability knowledge base by combining Amazon Kendra and a large language model (LLM) from Amazon Bedrock—a fully managed service offering high-performing foundation models.
This guidance demonstrates how to combine and consolidate GHG emissions data from SAP (specifically from SAP S/4HANA's sustainability module) and non-SAP disparate sources using Data Lakes on AWS and higher-level analytics and machine learning services, allowing customers to unlock sustainability insights.
This guidance demonstrates how customers can use the SAP Sustainability Control Tower SaaS offering to obtain sustainability metrics on pre-built data models that support established reporting frameworks such as the Global Reporting Initiative, World Economic Forum, and Task Force on Climate-Related Financial Disclosures (TFCD), as well as extensible data models based on SAP and third-party structured and unstructured data.
This Guidance provides foundational software building blocks to help accelerate the design, implementation, or expansion of applications to automate carbon footprint tracking.