The Evolution of AI: Traditional AI vs. Generative AI
Generative AI differs from traditional AI by building on historical repositories, analytics platforms, and application layers to predict and act on data.
MAIN POINTS FROM TRANSCRIPT
- Traditional AI relied on repositories to store various types of historical information.
- Analytics platforms like SPSS Modeler or Watson Studio were used to build predictive models.
- Application layers implemented these models to act on predictions, such as preventing customer churn.
TAKEAWAYS
- Generative AI builds upon the foundational elements of traditional AI.
- Repositories, analytics platforms, and applications are key components of AI systems.
- AI models are used to predict and influence future outcomes based on historical data.