As the world faces growing environmental challenges, the mix of technology and sustainability is becoming a major area of innovation. Generative artificial intelligence, a type of artificial intelligence (AI) that creates new content from existing data, has huge potential to push sustainable practices forward in many industries. But the real impact of generative AI on sustainability comes down to the quality of the data it’s working with. 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 techniques and shaping smarter climate policies. But all these AI-driven solutions are only as good as the data they’re built on. If organizations focus on high-quality data and solid data management, they can really tap into the power of generative AI to help build a more sustainable and resilient future.
Data Harmony is a customizable suite of software designed to make information management and retrieval as precise and efficient as possible. It includes tools for building taxonomies and thesauri, machine-assisted 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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