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.

Partner Solutions

Software, SaaS, or managed services from AWS Partners

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Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Querying Sustainability Documents Using Generative AI…

    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.
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