As the world faces environmental challenges, the convergence of technology and sustainability has become a key area for innovation and progress. Generative AI, a branch of artificial intelligence (AI) that can create new content from existing data, has significant potential to promote sustainable practices across various industries. However, the success of generative AI in fostering sustainability depends 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 can drive major advancements in sustainability by optimizing resource use, enhancing predictive maintenance, improving agricultural practices and informing climate policies. Nevertheless, the effectiveness of these AI-driven solutions is critically dependent on the quality of the data they are based on. By prioritizing data quality and implementing strong data management practices, organizations can leverage the power of generative AI to build a more sustainable and resilient future.

Data Harmony is a fully customizable suite of software products designed to maximize precise and efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine-aided indexing, database management, information retrieval and explainable AI.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

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