I’m going to give you my perspective of understanding how AI works

I would like to offer my understanding of how AI works with my experience in BI and a lot of researchi.

First, in my opinion this AI consist of these important areas of the logical real world areas

Statistics

Algorithms

Patterns

Data.

Predictions

Semantics

First, this is meant to be at the normal person level. Of course they’re my opinions. I will go into technical detail later.

It is important to understand the difference between our intelligence and artificial intelligence, mainly artificial intelligence consist of memorization, patterns in huge amounts of data and calculations. The result, it is important to remember that you as a human have a ability to override your thoughts or predictions, it’s good sometimes that.also, as a human, sometimes you have that intuition? Many times this would be in conflict of what artificial intelligence would tell you. i’m not making a judgment I’m just observing

Artificial intelligence, I will point out is no better than human intelligence . In fact, AI is modeled on human intellgence

AI is faster, it can consume, vastly more data quickly, and you can correlate, that does not make it better. It’s just different. It is useful and faster

I would like to help compare and contrast for many of you, what we have done over the years and where we are now I believe there’s to many synonyms saying the same information and rather then a simple comparison and relationship, as well as many mathematical concepts, and even that many of these have existed for a while and that are being called by different names. It’s not new or different. Mathematics is still the center and it’s always been there., this is to clear things up, you may know more about how this things work then you realize

Oneiof the basic parallels or similarities is in BI, we focused on Files, tables, dimensions and of course fields pand metric and KPI’s. Surprisingly, it is very similar in artificial intelligence, and the focus on on algorithms,, and features which many derived from fields and dimensions which many are also derived from data fields, statistics or other things again, I’d like to point out that there is a correlation and a relationship of featured

It is important to realize previously because of technology constraints. , we would focus on these correlations and relationships to be hard wired any coded in physical files in artificial intelligence. Currently, we can perform this kind of relationship discovery, and correlations and memory encoding differently, but it’s still the same conceptionally., obviously, this can be done on a greater scale and quicker

This is just one of many correlations I will be pointing out. Thank you.