As the world grapples with environmental challenges, the intersection of technology and sustainability has become a focal point for innovation and progress. Generative AI, a subset of artificial intelligence (AI) capable of creating new content from existing data, holds significant potential to drive sustainable practices across various industries. However, the effectiveness of generative AI in promoting sustainability hinges on the quality of the data it utilizes. Supply Chain DIVE brought this information to our attention in their article, “The secret sauce for generative AI and sustainability: Data quality.”

Generative AI has the potential to drive significant advancements in sustainability by optimizing resource use, enhancing predictive maintenance, improving agricultural practices and informing climate policies. However, the efficacy of these AI-driven solutions depends critically on the quality of the data they are built upon. By prioritizing data quality and implementing robust data management practices, organizations can harness the power of generative AI to create a more sustainable and resilient future.

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Melody K. Smith

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

Sponsored by Data Harmony, harmonizing knowledge for a better search experience.