Artificial Intelligence has long been the enabler of data-driven innovation. But with the rise of generative AI, the game has changed—machines are no longer just analyzing data; they’re creating it. Understanding where traditional AI ends and generative AI begins is critical for any enterprise aiming to innovate responsibly and effectively.
In this white paper, N-iX experts break down the essential differences between AI and generative AI—from data processing and model complexity to security, adaptability, and business use cases. You’ll learn when to apply each technology, how to balance predictive accuracy with creative potential, and what infrastructure your organization needs to scale AI safely and efficiently.
Download the white paper to uncover what sets AI and generative AI apart—and learn when each can bring the most value to your enterprise!
