We have AI systems that can beat human Go masters, write poetry and pass the Turing test. But these were all created for specific applications. Could we develop an AI program that serves a more general, all-around use?
5 key obstacle gradually being surmounted
- Unsupervised Learning
- Creativity & Abstract Thinking
- Public Trust
- General Usage
Once we hurdle these obstacles how will AI impact analytics?
"Better tools and analytics. First up, the tools and software you use to improve your business are going to get a major overhaul. They’ll be able to use data more efficiently and more accurately than your human data analysts, and you’ll be able to produce more intuitive, visual representations of those conclusions."
Humans tend to think of ideas -- and solutions to problems -- in terms of abstractions. For example, think about a horse. Chances are, you aren’t thinking about a very specific example of a horse, and you don’t need to list out all the required “ingredients” that constitute a horse. Instead, you conceptualize the general idea of what a “horse” is. A modern computer, on the other hand, would need thousands of examples of horses to understand what “horse” means, and even then, it would have to define this conceptual equine concretely and completely to use that idea in any application.