Neo4j is Chat GT (GT-3), Excel and SQL in one boiler or what is artificial intelligence building a business on now
Hello everyone I am a programmer, I am engaged in business process automation. I, too, like everyone else, admire the possibilities of ChatGPT, but in my personal value system there is now a far less serious breakthrough in a very close, but still in another area: in the field of accessibility of artificial intelligence for business. In this article, I will tell you as simply and easily as possible about the Neo4j solution and try to explain what its coolness is for business as a basis for artificial intelligence.
Author: Marcus Sutton
12/03/22
Author: Marcus Sutton
12/03/22
But I'll start with the bad news ...
Perhaps you have already realized that in order to get the desired result from neural networks, it is very important to "make a query correctly". So: the further artificial intelligence is introduced into our lives, the more this skill will be in demand, because more and more processes will be transferred to AI, and the human task will be, first of all, "to write a query correctly".
And this problem will not go away, because no matter what manifestations of reason ChatGPT and similar programming wonders show, there is no reason there: this is just a very powerful calculator that has lived up to the opportunity to collect all the data from the Internet and process them. I.e. thoughtless integration of such solutions into real life and in business can lead to the most unpredictable consequences. Actually, many business owners are in no hurry to use artificial intelligence in business just because of the "black box" syndrome, not understanding how it works.
In fact, hardly anyone understands to the end how a regular printer, or a mouse, or 1C works - but it has already become familiar and is used everywhere.
This is the story that will happen with artificial intelligence: you can ignore the appearance of tractors and continue to plow the land on horses, but the result of such a decision is very predictable.
And now the good news!
The good news is that you have read this article and learned before others that now any, even the smallest business can implement real artificial intelligence, tailored to solve your specific problems!
And it's not even necessary to hire a programmer to do this: it's no more difficult to deal with Neo4j than with Excel, and there are certainly no fewer areas of application, because with this system you can implement AI both for the entire enterprise as a whole and for individual areas and processes.
Neo4j - not created for programmers
In fact, Neo4j is unlikely to impress experienced programmers who are used to doing the same thing on their own, with their own hands. The coolness of Neo4j lies precisely in the ease of learning for an ordinary person. For example, many financiers know and use SQL in practice, and probably get a good premium for it. It is easier to learn a similar query language for Neo4j (Cypher) than SQL: not everyone will be able to write complex SQL queries, and in principle there is nothing complicated on Cypher: you just need to slowly understand the basic principles and read the instructions at least once from beginning to end.
If you decide to make a career as a programmer, then I also advise you to also look in the direction of Neo4j: such a solution will be useful to any business, and it can be mastered much faster than any other technology.
The main thing here is not to be afraid: it can be difficult only at the very beginning, and even then: the difficulties are more psychological, which can be solved by understanding a little terminology.
What do ChatGPT and Neo4j have in common?
To begin with, let's figure out how ChatGPT works, or rather: due to what we can see such wonderful results:
No matter what wonders ChatGPT shows, there is no more intelligence in it than in an Electronics calculator. In fact, all neural networks are the result of the evolution of a complex of technologies: the development of the Internet not only technically, but also socially, thanks to which large corporations can collect the most detailed information about various spheres of people's lives, thanks to the development of computing power, and, of course, the banal experience and achievements of past generations of programmers do not pass by.
But nothing has changed fundamentally:
The more information there is on the Internet, the more actively we go into it (now everyone has forgotten something about the Internet of Things, but in vain!), the cooler the AI will be. But always keep in mind: this coolness is achieved by accumulating the work of a real human mind, and there were no brains in the machine itself, and it is not expected.
So, once again:
The whole problem of artificial intelligence is to somehow convey information about the diversity of our world.
Neural networks require a huge amount of statistical information, so, relatively speaking, the one with more video cards is cooler in neural networks. Which she will recalculate in all its guises, trying to find the most subtle mathematical patterns in the processes.
Classical machine learning works the same way, but at the expense of more prepared data, where the machine has less to think out on its own, which means that less data is enough to implement AI, and significantly less computing power is needed. Therefore, in real business, machine learning is used much more often than neural networks.
Neo4j offers an even simpler way to provide information: you can teach the machine to understand the subject area by transferring knowledge from the heads of your employees in the form of circles and arrows.
Perhaps you have already realized that in order to get the desired result from neural networks, it is very important to "make a query correctly". So: the further artificial intelligence is introduced into our lives, the more this skill will be in demand, because more and more processes will be transferred to AI, and the human task will be, first of all, "to write a query correctly".
And this problem will not go away, because no matter what manifestations of reason ChatGPT and similar programming wonders show, there is no reason there: this is just a very powerful calculator that has lived up to the opportunity to collect all the data from the Internet and process them. I.e. thoughtless integration of such solutions into real life and in business can lead to the most unpredictable consequences. Actually, many business owners are in no hurry to use artificial intelligence in business just because of the "black box" syndrome, not understanding how it works.
In fact, hardly anyone understands to the end how a regular printer, or a mouse, or 1C works - but it has already become familiar and is used everywhere.
This is the story that will happen with artificial intelligence: you can ignore the appearance of tractors and continue to plow the land on horses, but the result of such a decision is very predictable.
And now the good news!
The good news is that you have read this article and learned before others that now any, even the smallest business can implement real artificial intelligence, tailored to solve your specific problems!
And it's not even necessary to hire a programmer to do this: it's no more difficult to deal with Neo4j than with Excel, and there are certainly no fewer areas of application, because with this system you can implement AI both for the entire enterprise as a whole and for individual areas and processes.
Neo4j - not created for programmers
In fact, Neo4j is unlikely to impress experienced programmers who are used to doing the same thing on their own, with their own hands. The coolness of Neo4j lies precisely in the ease of learning for an ordinary person. For example, many financiers know and use SQL in practice, and probably get a good premium for it. It is easier to learn a similar query language for Neo4j (Cypher) than SQL: not everyone will be able to write complex SQL queries, and in principle there is nothing complicated on Cypher: you just need to slowly understand the basic principles and read the instructions at least once from beginning to end.
If you decide to make a career as a programmer, then I also advise you to also look in the direction of Neo4j: such a solution will be useful to any business, and it can be mastered much faster than any other technology.
The main thing here is not to be afraid: it can be difficult only at the very beginning, and even then: the difficulties are more psychological, which can be solved by understanding a little terminology.
What do ChatGPT and Neo4j have in common?
To begin with, let's figure out how ChatGPT works, or rather: due to what we can see such wonderful results:
No matter what wonders ChatGPT shows, there is no more intelligence in it than in an Electronics calculator. In fact, all neural networks are the result of the evolution of a complex of technologies: the development of the Internet not only technically, but also socially, thanks to which large corporations can collect the most detailed information about various spheres of people's lives, thanks to the development of computing power, and, of course, the banal experience and achievements of past generations of programmers do not pass by.
But nothing has changed fundamentally:
The more information there is on the Internet, the more actively we go into it (now everyone has forgotten something about the Internet of Things, but in vain!), the cooler the AI will be. But always keep in mind: this coolness is achieved by accumulating the work of a real human mind, and there were no brains in the machine itself, and it is not expected.
So, once again:
The whole problem of artificial intelligence is to somehow convey information about the diversity of our world.
Neural networks require a huge amount of statistical information, so, relatively speaking, the one with more video cards is cooler in neural networks. Which she will recalculate in all its guises, trying to find the most subtle mathematical patterns in the processes.
Classical machine learning works the same way, but at the expense of more prepared data, where the machine has less to think out on its own, which means that less data is enough to implement AI, and significantly less computing power is needed. Therefore, in real business, machine learning is used much more often than neural networks.
Neo4j offers an even simpler way to provide information: you can teach the machine to understand the subject area by transferring knowledge from the heads of your employees in the form of circles and arrows.
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