Generative AI represents a major shift in technology, allowing systems to create human-like content across various media. Its success relies heavily on the quality and structure of the data fed into it. Companies must not only have ample data but should emphasize its relevance and organization. This preparation involves a thorough understanding of their existing data infrastructure, necessitating a review of storage solutions and data governance to identify any gaps. Only by ensuring data readiness can organizations fully leverage the potential of generative AI.
The advent of generative AI systems requires organizations to ensure their data is relevant, high-quality, and appropriately structured for successful implementation.
Generative AI relies on effective data management, encompassing both structured and unstructured data, to create outputs that rival human creativity.
Collection
[
|
...
]