Generative AI has proliferated in the last few years. The technology gives users the ability to quickly create high-quality content – images, audio, videos, text, etc. – with simple commands delivered through user-friendly interfaces. What’s more, these tools offer low-cost pricing, which is a big reason why their popularity has skyrocketed.
It’s clear that generative AI technology has reached a tipping point, and there’s no turning back. On the one hand, enterprises that take a wait-and-see approach may lose competitive advantage. But the other side of that coin is: If you invest too heavily too soon without a roadmap, your organization may suffer from AI project failure.
There’s a balance to be struck. To move forward, enterprises need three things: a comprehensive data strategy; a robust data management foundation; and a complete understanding of the use cases where generative AI can provide business value.
This eBook addresses each of these points and gives readers the information they need to start laying a generative AI foundation.