CHAPTER 2: Understanding AI in a Business Context
Generative vs. Predictive AI
Generative AI refers to algorithms that create new data instances
resembling a given dataset. These algorithms learn patterns from input
data and generate output that’s similar but not identical to the input.
Generative AI is powerful in creative fields where new and unique content
is valued. It generates ideas, designs, or solutions that were not explicitly
part of its training data. While AI-generated content is not technically
unique or novel — it’s basically the world’s most efficient copycat! —
copyright laws have failed to keep pace with technology. These laws are
evolving, and the U.S. government uses a sliding scale to determine what
constitutes an infringement. Still, the most common applications of
generative AI include:
•
Text: Tools like GPT-4 can generate text from a given prompt,
making them useful for content creation, translation, and
conversational interactions.
•
Images: Models like GANs (Generative Adversarial Networks)
can produce realistic images from text descriptions.
•
Music & art: AI can compose music or create visual art that
mimics specific styles or themes.
A Blueprint for CMO Success in the High-Stakes AI Marketplace
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