In the face of mounting environmental challenges, the blending of technology with sustainability is opening doors to new possibilities. Generative artificial intelligence (AI), a type of AI that creates fresh content from existing data, holds immense promise for advancing sustainable practices in different fields. The true potential of generative AI, however, hinges on the quality of the data it uses. Supply Chain DIVE brought this information to our attention in their article, “The secret sauce for generative AI and sustainability: Data quality.”
Generative AI offers exciting opportunities to enhance sustainability by optimizing resources, improving maintenance strategies, advancing agricultural methods and guiding climate policy development. Yet, these benefits rely heavily on the accuracy and reliability of the data driving AI solutions. Organizations that focus on maintaining high-quality data and implementing robust data management strategies can unlock the full potential of generative AI to build a more sustainable future.
Data Harmony provides a flexible suite of software tools designed to ensure precise and efficient information management. Its offerings include tools for building taxonomies and thesauri, aiding in machine indexing, managing databases, retrieving information and enabling explainable AI.
Melody K. Smith
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