How synthetic data will power the future of AI

#artificialintelligence 

"Is there data, and is it of sufficient diversity and quality to address my specific need?" This is the question that many of today's data and technology leaders have when creating a modern data architecture to support their company's digital and AI transformations. While data may be the foundation for any AI project, there isn't a clear-cut answer for how much of it you need to ensure a target performance. The difficulties associated with enterprise adoption could pose significant barriers to realizing the benefits of AI. A single dataset may contain tens of millions of elements.

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