For A.I. Data is Everything

(Image created by A.I. DALL-E/Bing)

At a high level, Artificial Intelligence is 3 things:

• A Dataset: The information the A.I. looks through to answer its queries.
• A.I. Framework: The code responsible to transform the input request into computer language, search through data and transform it into an answer that a user can understand.
• Input Source: Anything that can be digitized can be used as an input for A.I. (Audio, Video, Text...etc.)

Many believe that the A.I. Framework is the most important part of A.I. but the data is just as important as the code that looks through it as without it the A.I. isn't able to create any output.

We need to think of this in similar ways as how humans create new data. We may think that we're original in our ideas but our memory is what inspires new ideas. The data, for A.I., is the same as memory is to humans.

As the rise of A.I. is in full swings, many companies are looking into ways to integrate A.I. into their services not realizing that they need a dataset in order for it to function.

I've also noticed many investors throwing their money out at any companies that mentions A.I. but I think we need to look at it from the perspective of the dataset. The most valuable companies today aren't necessarily the ones that work with A.I. but the ones that have the best datasets. Whether it be Meta, Tesla, Microsoft, Pharmaceutical... those are companies to be on the lookout for as their datasets will become increasingly useful as A.I. progresses.