Artificial intelligence and digitalization of business architecture.
From the traditional business to the data-oriented business, what is controlled by artificial intelligence can be very short. Artificial intelligence can collect, analyze and use information more effectively than people ever can use. The thing is that artificial intelligence would be sharp, and it can process more data, what human cannot read during the entire life. That means that this kind of algorithms can search for data from the millions of sources on the internet, and in the most regular solution raise things, what might interests the readers or users of data, like the obituary, where is mentioned the director's name, who is in charge in the company, what is working as business mate.
This kind of things might interest the other companies because if there are many cases, where the owner of some company is mentioned in the obituaries, as the sympathetic or family member there is something wrong. Or if there is finding much news, where are pictures of competitors or their vehicles there are problems with something.
Artificial intelligence can search those data from using the old news, which is scanned to the Internet. Those programs can recognize images and words even from pictures and PDF-documents, which are published. And that thing would help the analyzers find similarities in that information. This kind of systems would not make decisions. They just raise the data to the screens of human operators, who make decisions of the actions. But in the future, this system can tell the authorities and even call the police, if it sees some suspicious people.
The road from traditional solutions to effectively secured data-based, and user-oriented solutions and architecture must begin during training and education. That causes that the user adjusts to using digital solutions, what are effective and saves nature. But people must understand that the only secured data makes those systems trustable. If some people would slip in the system and allows to manipulate data, the results would be devastating.
In some versions, data-oriented business means situation, where artificial intelligence is following the behavior of the markets, and then increases or decrease the production and also allows to focus the production in the particles, what have the best sales. That would save money, and also make operations in the company more flexible and more effective, even if the company doesn't use robots in the manufacturing process.
If we are thinking about the case, where some company wants to make a new computer game for markets, they would use artificial intelligence for mapping, what kind of products would have the best possibility to make success in the business. Artificial intelligence can connect data about the things, what people are talking about computer games. And that system can map from the screen, what kind of characters and items those successful computer games might involve.
Also if artificial intelligence can use biometric data that is collected from brains and where the eyes are pointed, that thing means that the system can map things, what are pleasing players by using EEG and other sensors like miniature cameras. That can install inside the Virtual Reality glasses. This kind of data can collect from the players by using a simple methodology. Players can be asked to test computer games, and then the biometric data can collect without their knowledge.
This is one way to think about innovation. When we are thinking about digital directors of companies or digital professors and even digital students, we must realize that machine learning can make everything about those things possible. The machine learning can allow artificial intelligence to learn things like a normal student, and it can find and connect data from the digital database as the human student does, and in some wild scenarios that artificial intelligence can turn to the professor and start to teach humans.
And maybe that computer program has digitalized human character in use. That means that human students can believe that the figure, what they see in screens is human. That thing is only one way, how that thing can accomplish.
But the more conventional solution is to use human beings in that thing. Those people can operate by using virtual workspaces, and the companies might have virtual headquarters. Those systems might base the technology, which is used in computer games. The virtualization of the workplace can seem a very interesting solution and one thing what supports that solution is that kind of thing would decrease the carbon dioxide. And the directors can handle things more effective way than ever before.
But this kind of solution needs very high-level information security. The vital thing about the success of that kind of next-generation virtual reality solutions is that the information, what those digitalized characters would get is that data would have high enough confidentiality, integrity, and availability. If this principle is dangered, that means somebody can manipulate the data, what is meant for making decisions.
And that thing causes the wrong decisions. The thing is that virtualization and digitalization give very good opportunity, but at the same time this kind of things causes very big treats. The digital solutions are ultimate tools in the right hand, but dangerous in the hands, what is not qualified, or somehow hostile. This means that the greatest opportunity in history can turn to nightmare. The thing, what we can do with data systems are different than what we should do. And that is a very good perspective for discussions about digitalization.
From the traditional business to the data-oriented business, what is controlled by artificial intelligence can be very short. Artificial intelligence can collect, analyze and use information more effectively than people ever can use. The thing is that artificial intelligence would be sharp, and it can process more data, what human cannot read during the entire life. That means that this kind of algorithms can search for data from the millions of sources on the internet, and in the most regular solution raise things, what might interests the readers or users of data, like the obituary, where is mentioned the director's name, who is in charge in the company, what is working as business mate.
This kind of things might interest the other companies because if there are many cases, where the owner of some company is mentioned in the obituaries, as the sympathetic or family member there is something wrong. Or if there is finding much news, where are pictures of competitors or their vehicles there are problems with something.
Artificial intelligence can search those data from using the old news, which is scanned to the Internet. Those programs can recognize images and words even from pictures and PDF-documents, which are published. And that thing would help the analyzers find similarities in that information. This kind of systems would not make decisions. They just raise the data to the screens of human operators, who make decisions of the actions. But in the future, this system can tell the authorities and even call the police, if it sees some suspicious people.
The road from traditional solutions to effectively secured data-based, and user-oriented solutions and architecture must begin during training and education. That causes that the user adjusts to using digital solutions, what are effective and saves nature. But people must understand that the only secured data makes those systems trustable. If some people would slip in the system and allows to manipulate data, the results would be devastating.
In some versions, data-oriented business means situation, where artificial intelligence is following the behavior of the markets, and then increases or decrease the production and also allows to focus the production in the particles, what have the best sales. That would save money, and also make operations in the company more flexible and more effective, even if the company doesn't use robots in the manufacturing process.
If we are thinking about the case, where some company wants to make a new computer game for markets, they would use artificial intelligence for mapping, what kind of products would have the best possibility to make success in the business. Artificial intelligence can connect data about the things, what people are talking about computer games. And that system can map from the screen, what kind of characters and items those successful computer games might involve.
Also if artificial intelligence can use biometric data that is collected from brains and where the eyes are pointed, that thing means that the system can map things, what are pleasing players by using EEG and other sensors like miniature cameras. That can install inside the Virtual Reality glasses. This kind of data can collect from the players by using a simple methodology. Players can be asked to test computer games, and then the biometric data can collect without their knowledge.
This is one way to think about innovation. When we are thinking about digital directors of companies or digital professors and even digital students, we must realize that machine learning can make everything about those things possible. The machine learning can allow artificial intelligence to learn things like a normal student, and it can find and connect data from the digital database as the human student does, and in some wild scenarios that artificial intelligence can turn to the professor and start to teach humans.
And maybe that computer program has digitalized human character in use. That means that human students can believe that the figure, what they see in screens is human. That thing is only one way, how that thing can accomplish.
But the more conventional solution is to use human beings in that thing. Those people can operate by using virtual workspaces, and the companies might have virtual headquarters. Those systems might base the technology, which is used in computer games. The virtualization of the workplace can seem a very interesting solution and one thing what supports that solution is that kind of thing would decrease the carbon dioxide. And the directors can handle things more effective way than ever before.
But this kind of solution needs very high-level information security. The vital thing about the success of that kind of next-generation virtual reality solutions is that the information, what those digitalized characters would get is that data would have high enough confidentiality, integrity, and availability. If this principle is dangered, that means somebody can manipulate the data, what is meant for making decisions.
And that thing causes the wrong decisions. The thing is that virtualization and digitalization give very good opportunity, but at the same time this kind of things causes very big treats. The digital solutions are ultimate tools in the right hand, but dangerous in the hands, what is not qualified, or somehow hostile. This means that the greatest opportunity in history can turn to nightmare. The thing, what we can do with data systems are different than what we should do. And that is a very good perspective for discussions about digitalization.
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