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Power data-driven sustainability strategies with ESG analytics
Companies across industries increasingly need to account for environmental, social, and governance (ESG) performance in business decisions. Accounting for ESG helps to reduce risks and capitalize on opportunities across operations and supply chain functions. ESG Performance Analytics solutions on AWS use advanced analytics and artificial intelligence and machine learning (AI/ML) to power data-driven decision making based on ESG indicators. Using these solutions, companies can link sustainability and ESG performance directly to critical business and financial objectives so that they can better shape and strengthen strategies to achieve their sustainability goals.
Used by leading banks, hedgefunds, exchanges, insurance carriers, and corporations. Domain expertise in finance, with customization to any strategy or industry. Serverless ETL and NLP architecture, allowing Amenity Analytics to analyze 100x more data 100x faster.
Take a quantitative and AI-driven view into sustainability performance.
Better understand and quantify the sustainability and societal impact of investment in a company, or embed better ESG in your own organization.
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.