As we face environmental challenges, the blend of technology and sustainability is becoming a hotbed for innovation. Generative AI, a type of artificial intelligence (AI) that creates new content from existing data, has huge potential to push sustainable practices across different industries. But, the real kicker is that the success of generative AI in promoting sustainability really 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 make big strides in sustainability by optimizing how we use resources, boosting predictive maintenance, improving farming methods and shaping climate policies. However, these AI-driven solutions are only as good as the data they’re built on. By focusing on high-quality data and solid data management practices, organizations can tap into the power of generative AI to build a more sustainable and resilient future.
And then there’s Data Harmony, a fully customizable suite of software products designed to make information management and retrieval super precise and efficient. It includes tools for building taxonomies and thesauruses, machine-aided indexing, database management, information retrieval and even explainable AI.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
