Generative AI is dominating headlines, boardroom discussions, and innovation budgets. From marketing copy to code generation, it's being hailed as the most revolutionary technology since the internet. But while enterprise leaders are captivated by the promise of artificial intelligence, few are seeing real returns on their investments.
Read MoreArtificial intelligence has been around since the 1950’s, yet even for skeptics, recent advances in Generative AI (GenAI) have significantly moved the needle forward. Due to massive early adoption, Goldman Sachs estimates that Generative AI could raise global GDP by 7% within 10 years [1]. However, while the focus has been on GenAI, it’s important to note that any GenAI strategy requires the right data and the ability to govern the data effectively with the GenAI tool. A strong GenAI strategy will include the following key components.
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