7 Things That Need to Happen to Make GenAI Useful to Business

To make Generative AI truly useful for businesses, several critical steps must be taken. This includes enhancing data quality, establishing clear guidelines, ensuring ethical use, and improving integration with existing systems. This article highlights the need for a strategic approach to harness AI's potential effectively. Discover the full insights and recommendations for businesses looking to leverage Generative AI in this informative piece.

“Unfortunately, most enterprises are applying data catalogs to define, label and map data to semantic concepts after data has flowed through several other steps and transformations. What they should be doing instead is definition and mapping data right from the source so that any person or program accessing the data downstream has a shared definition of it,” says Eric Best, CEO at SoundCommerce, a provider of a composable data platform for retail brands.  

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