Foundational Considerations in Mitigating AI Data Risk

Data has become the lifeblood of businesses, and in turn, it is becoming critical for effective artificial intelligence applications. Akin to a living organism, data is generated, enhanced, changed, harvested and reused to build and operate AI systems. As adoption of generative AI and new use cases for large language models grow, organizations must explore pragmatic approaches to navigating their data-related requirements in the pursuit of innovation.

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