Are there any ongoing work to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems to improve Business Intelligence analytics?

Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting.

Probably in the future, the business analyst will be supported by artificial intelligence.

It would be a great advance in the field of automation and objectification of multi-criteria economic analyzes of business entities.

Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems.

However, in what direction will technological progress be realized in this field?

In the future, as part of the progressing computerization of analytical processes, it will be possible to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems.

Apparently, we are now living in the era of the fourth technological revolution, known as Industry 4.0.

The previous three technological revolutions:

1. The industrial revolution of the eighteenth and nineteenth centuries, determined mainly by the industrial application of the invention of a steam engine.

2. Electricity era of the late nineteenth century and early twentieth century.

3. The IT revolution of the second half of the twentieth century determined by computerization, the widespread use of the Internet and the beginning of the development of robotization.

The current fourth technological revelation, known as Industry 4.0, is motivated by the development of the following factors:

- artificial intelligence,

- cloud computing,

- machine learning,

- Big Data database technologies,

- Internet of Things.

On the basis of the development of these IT instruments and technologies, business analytics of companies such as Business Intelligence and the above-mentioned areas have been dynamically developing in recent years.

In view of the above, I turn to you with the following question: Are there any ongoing work to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems to improve Business Intelligence analytics?

In what direction will the current technological revolution, known as Industry 4.0, develop?

Please, answer, comments. I invite you to the discussion.

Does the development of Business Intelligence analytics technology and data processing in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generate new business management concepts?

At present, in the age of the technological revolution known as the 4.0 industry, new technology management or Internet-based companies are emerging.

The technological revolution in recent years, known as Industry 4.0, is motivated by the development of the following factors:

Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence.

Added to this is the development of data processing analytics in Business Intelligence enterprises, the development of life science technologies, biotechnology, eco-innovation, energy, medical intelligence, etc.

On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop.

In the context of this problem, many questions arise:

Does the development of Business Intelligence analytics technology and data processing in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generate new business management concepts?

What other technological improvements, innovative organizational, technical and IT solutions will be developed in the future based on the development of the above-mentioned factors?

What kinds of innovations will be able to be created in the coming years, in the future based on the integration of the above-mentioned main determinants of the development of the current technological revolution known as Industry 4.0?

What kind of new categories of added value may be created in the future if the above-mentioned technological solutions are more involved in the creation of biotechnological, ecological, product and other innovations.

Will new technologies be created in this way, with the help of which it will be possible to generate solutions to the problems of excessive exploitation of Earth resources in the process of civilization development?

Do business management processes play a particularly important role in the context of the effective functioning of business entities in currently developing economies based on knowledge, information and technology?

Is e-management a new concept of managing virtual enterprises or rather managing online technology companies?

Are new management concepts of innovative enterprises and start-ups based mainly on knowledge, information, entrepreneurship and creation of innovations?

Please reply. I invite you to the discussion

Is the synergy and interdependence between the development of analytics conducted in Business Intelligence applications and the processing of data in the cloud in the Big Data database systems increased?

Currently, the amount of information collected in Big Data database systems is growing very fast.

Many companies that have their own Big Data database systems containing huge amounts of information downloaded from the Internet carry out analyzes of these data, the results of which are used in business management.

Many companies use these resources to manage their business. When processing information in the cloud, ie information collected in Big Data systems, the sentiment analysis uses the results of the analytical work carried out in this way for the strategic management of the company.

In view of the above, I am asking you: Is the synergy and interdependence between the development of analytics conducted in Business Intelligence applications and data processing in the cloud in the Big Data database systems increasing?

Please reply. I invite you to the discussion

Will the development of Business Intelligence analytics and data processing technology collected in the Big Data banking database systems improve the credit risk management process or will it contribute to the development of Shadow Banking and the use of unethical practices for the surveillance of potential borrowers?

Large commercial banks generate high financial surpluses allowing for the implementation of modern integrated teleinformatic internet banking systems, Business Intelligence data analysis systems, data processing platforms in Big Data database systems, etc.

There were already situations of unethical use of modern ICT solutions, analysis of comments on social media portals, during which the bank verified the customer's data entered into the loan application by also scanning information that the potential borrower types in social media portals.

This informal verification took place without the knowledge of a potential borrower and could then be the basis for suing the bank.

However, the bank's client is not always aware of the fact that it can be invigilated in such a way by the public trust institutions that the bank should be.

Of course, these types of cases, which we know from the media is supposedly a margin of entire banking, which can be one of the categories of a new type of unethical practices typical of the so-called Shadow Banking.

However, only part of this type of information gets to the media.

Maybe this is just so-called "the tip of the iceberg" of this problem.

The situation is similar in the situation of cybercriminals' attack on bank IT systems or electronic banking platforms.

If it is possible to keep this type of events secret, then customers do not find out about it.

This is because media only receive information about some of these types of events.

Does any of you conduct research in this area?

If so, I invite you to cooperation.

I am asking for comments

In view of the above, I turn to you with the following question

Will the development of Business Intelligence analytics and data processing technology collected in the Big Data banking database systems improve the credit risk management process or will it contribute to the development of Shadow Banking and the use of unethical practices for the surveillance of potential borrowers?

Please, answer, comments. I invite you to the discussion.

When will artificial intelligence be implemented into the analytical Business Intelligence systems and what will be the consequences?

The Business Intelligence systems currently being developed by IT technology companies and sold for companies support business management processes or a specific part of it. These systems, if they are connected to the Big Data database system and integrated with logistics, accounting, production, sales departments, inventories, relationships, contractors, financial institutions, etc., can significantly improve business management systems. If the whole system of obtaining and processing collected in Big Data information concerns all external and internal determinations of the company's operations and takes place in real time, the company has an excellent tool supporting decision-making processes. This type of tool allows you to make better decisions in the strategic and ongoing management of a company, corporation, financial institution or other type of business entity. However, in this area there is constant progress determined primarily by the creation of new ICT solutions, new data processing technologies, etc.

Therefore, the following question arises: When will artificial intelligence be implemented into the analytical Business Intelligence systems and what are the consequences?

Will business management become even easier after implementing artificial intelligence in Business Intelligence business intelligence systems? And if so, for what kind of business entities? or only for large corporations and financial institutions, in which millions of different categories of information are being processed on a daily basis, or such new-generation systems supporting decision making, will also be available for smaller companies and enterprises from the SME sector?

I am asking for answers, comments. I invite you to the discussion.

In contemporary business the discussion is around ABCD , that is Artificial Intelligence, Block chain, Cloud and Data Analytics which will impact Business Intelligence. The disruptions signal that organisations have to stay ahead of time to survive.

Business Intelligence tools and systems will play a key role in the strategic planning process, which is affected by the change of future professions.

In my opinion, technologies for processing large data sets in Big Data database systems and other information technologies, information processing services on the Internet or data obtained from the Internet, including social media portals. The Internet of Things will continue to grow dynamically, support systems for enterprise management processes, computerized data processing, Business Intelligence, etc. In addition, other technologies typical for the current fourth technological revolution, known as Industry 4.0.

In view of the above, the current question is: What information technologies will develop intensively in 2019?

Please, answer, comments. I invite you to the discussion.

One of the key questions in the field of BI is the following:

In which areas of business operation and development is the use of Business Intelligence helpful?

The current fourth technological revolutions are determined by the development and use of new information and information technologies, information processing in various applications. Therefore, business analytics of enterprises, ie Business Intelligence, are dynamically developing, which significantly improves the process of functioning and development of enterprises.In the light of the above, encouraging discussion, I turn to you with the following question: In which areas of business operation and development is the use of Business Intelligence helpful?Please, answer, comments. I invite you to the discussion.

The current technological revolution described as Industry 4.0 is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.

How do you know examples of business analytics connected to computerized Business Intelligence platforms with other advanced data processing technologies such as: Big Data database technologies, cloud computing, machine learning, IoT, artificial intelligence, Business Intelligence and other advanced data processing technologies Mining?

Please, answer, comments.

I invite you to the discussion.

Best wishes

Dear Dariusz Prokopowicz : in my opinion, if we look at the nature of Indonesia, the lighter the risks faced in business, it is intelligence in behavior or methods. intelligence is clearly a goal to penetrate good opportunities in business activities. opportunities can be created if there are safe and comfortable business conditions, everyone comes and believes, positive sentiments are mentioned in Indonesia, safe and comfortable conditions are difficult to create by the government but the government must be able to serve and fulfill all economic facilities when economic agents serve the market (domestic & foreign). intelligence is like a short tree but its roots are very long on the ground. intelligence is easily established if conditions are safe and comfortable in the long run, government regulations support the creation of this condition. and all economic actors obey and believe. sorry if this answer is not pleasing. thank you. Regards.

Dear Friends and Colleagues of RG

The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation.

Best wishes

The Busieness Intelligence analyst is currently one of the most important IT tools supporting business management processes. Data collection in Big Data database and advanced data processing and analysis Business Intelligence is currently the key information technology of the fourth technological revolution, known as Industry 4.0. The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, Business Intelligence, machine learning, Internet of Things, artificial intelligence and other advanced Data Mining technologies.

Best wishes

I suggest the following questions and research problems in the above topic: When will artificial intelligence be implemented into the analytical Business Intelligence systems and what will be the consequences? The Business Intelligence systems currently being developed by IT technology companies and sold for companies support business management processes or a specific part of it. These systems, if they are connected to the Big Data database system and integrated with logistics, accounting, production, sales departments, inventories, relationships, contractors, financial institutions, etc., can significantly improve business management systems. If the whole system of obtaining and processing collected in Big Data information concerns all external and internal determinations of the company's operations and takes place in real time, the company has an excellent tool supporting decision-making processes. This type of tool allows you to make better decisions in the strategic and ongoing management of a company, corporation, financial institution or other type of business entity. However, in this area there is constant progress determined primarily by the creation of new ICT solutions, new data processing technologies, etc. Therefore, the following question arises: When will artificial intelligence be implemented into the analytical Business Intelligence systems and what are the consequences? Will business management become even easier after implementing artificial intelligence in Business Intelligence business intelligence systems? And if so, for what kind of business entities? or only for large corporations and financial institutions, in which millions of different categories of information are being processed on a daily basis, or such new-generation systems supporting decision making, will also be available for smaller companies and enterprises from the SME sector?

In addition, I suggest the following questions and research problems in the above topic: Do Big Data companies use Business Intelligence analyzes in enterprises operating in your countries? The Big Data database technology is finding new applications in business. Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria. The report development time depends mainly on the computing power of Big Data servers. In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type. Perhaps in the future, artificial intelligence will also be involved in this field of analytics. In some countries, IT companies have been operating for several years, which develop Big Data database technology for commercial and business purposes. Some technology companies produce Business Intelligence platforms for business entities. Research centers of the largest technology companies on the Internet develop technologies of artificial intelligence. It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.

In addition, I suggest the following questions and research problems in the above topic: Do Big Data companies use Business Intelligence analyzes in enterprises operating in your countries? The Big Data database technology is finding new applications in business. Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria. The report development time depends mainly on the computing power of Big Data servers. In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type. Perhaps in the future, artificial intelligence will also be involved in this field of analytics. In some countries, IT companies have been operating for several years, which develop Big Data database technology for commercial and business purposes. Some technology companies produce Business Intelligence platforms for business entities. Research centers of the largest technology companies on the Internet develop technologies of artificial intelligence. It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.

Another proposal for a research topic in this field: Are there any ongoing work to implement artificial intelligence into the processes of analyzing large collections of information collected in Big Data database systems and Business Intelligence analytics systems? Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting. Probably in the future, the business analyst will be supported by artificial intelligence. It would be a great advance in the field of automation and objectification of multi-criteria economic analyzes of business entities. Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems. However, in what direction will technological progress be realized in this field? In the future, as part of the progressing computerization of analytical processes, it will be possible to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems.

I propose the following proposal for a research topic in this area: In which sectors of the economy, in what types of companies and corporations will the most dynamic technologies develop the analysis of large information collections in Big Data database systems and in the field of Business Intelligence analytics? The Big Data database technology is finding more and more applications in business. Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria. The report development time depends mainly on the computing power of Big Data servers. In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type. Perhaps in the future, artificial intelligence will also be involved in this field of analytics. In some countries, IT companies have been operating for several years, developing the Big Data database technology for commercial and business purposes. It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.

The above discussion inspired me to the following considerations: Does the development of data processing and analysis technology in the field of Business Intelligence analytics in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generates new business management concepts? At present, in the age of the technological revolution known as the 4.0 industry, new technology management or Internet-based companies are emerging. The technological revolution in recent years, known as Industry 4.0, is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence. Added to this is the development of data processing analytics in Business Intelligence enterprises, the development of life science technologies, biotechnology, eco-innovation, energy, medical intelligence, etc. On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop. In the context of this problem, many questions arise: What other technological improvements, innovative organizational, technical and IT solutions will be developed in the future based on the development of the above-mentioned factors? What kinds of innovations will be able to be created in the coming years, in the future based on the integration of the above-mentioned main determinants of the development of the current technological revolution known as Industry 4.0? What kind of new categories of added value may be created in the future if the above-mentioned technological solutions are more involved in the creation of biotechnological, ecological, product and other innovations. Will new technologies be created in this way, with the help of which it will be possible to generate solutions to the problems of excessive exploitation of Earth resources in the process of civilization development? Do business management processes play a particularly important role in the context of the effective functioning of business entities in currently developing economies based on knowledge, information and technology? Is e-management a new concept of managing virtual enterprises or rather managing online technology companies? Are new management concepts of innovative enterprises and start-ups based mainly on knowledge, information, entrepreneurship and creation of innovations? Does the development of data processing and analysis technology in the field of Business Intelligence analytics in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generates new business management concepts?

In view of the above, it is also important to include in the above discussion also the following issue: Can the Business Intelligence analytics effectively support the management process of an innovative technological startup? At present, in the age of the technological revolution known as the 4.0 industry, new concepts of technological management or Internet-based companies are being created. The technological revolution in recent years, known as Industry 4.0, is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence. In addition, in the knowledge-based economy, the important areas of knowledge and technologies that are developed are primarily the development of data processing analytics in Business Intelligence enterprises, the development of life science technologies, biotechnology, eco-innovation, energy, medical intelligence, etc. On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop.

In the context of the above considerations, the following question is also current: Is the synergy and interdependence between the development of analytics conducted in Business Intelligence applications and the processing of data in the cloud in the Big Data database systems increased? Currently, the amount of information collected in Big Data database systems is growing very fast. Many companies that have their own Big Data database systems containing huge amounts of information downloaded from the Internet carry out analyzes of these data, the results of which are used in business management. Many companies use these resources to manage their business. When processing information in the cloud, ie information collected in Big Data systems, the sentiment analysis uses the results of the analytical work carried out in this way for the strategic management of the company.

In addition, I note the interesting discussion inspired me to the following considerations: The development of analytics and information processing in large data sets for the needs of scientific works? Not all people conducting research use advanced information processing instruments such as data processing in the cloud, analysis of information collected from the Internet using sentiment analysis in Big Data database systems, analysis of large data sets using probabilitic, stochastic analytical models and other advanced statistics in computerized platforms such as Business Intelligence. Currently, techniques for analyzing large data sets in Big Data database systems are developing rapidly. The costs of these analytical processes and necessary IT tools are gradually falling and can now be available to any entity with relatively low financial resources.

Therefore, in the context of the above considerations, the following important question appears: What do you know about the applications of processing and analysis technology for large data sets, including data analysis as part of Business Intelligence analytics for e-marketing purposes? The development of information processing technology in the era of the current technological revolution defined by Industry 4.0 is determined by the application of new information technologies in the field of e-commerce and e-marketing. The current technological revolution described as Industry 4.0 is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies. Based on the development of the new technological solutions in recent years, dynamically developing processes of innovatively organized analyzes of large information sets stored in Big Data database systems and information processing in the cloud for applications in such areas as: machine learning, Internet of Things, artificial intelligence , Business Intelligence. Added to this are additional areas of application of advanced technologies for the analysis of large data sets such as Medical Intelligence, Life Science, Green Energy, etc. Processing and multi-criteria analysis of large data sets in Big Data database systems is made according to the V4 concept, ie Volume (meaning number of data), Value (large values ??of specific parameters of the analyzed information), Velocity (high speed of new information appearing) and Variety (high variety of information). The advanced information processing and analysis technologies mentioned above are used more and more often for marketing purposes of various business entities that advertise their offer on the Internet or analyze the needs in this area reported by other entities, including companies, corporations, financial and public institutions. More and more commercial business entities and financial institutions conduct marketing activities on the Internet, including on social media portals. More and more companies, banks and other entities need to conduct multi-criteria analyzes on large data sets downloaded from the Internet describing the markets on which they operate, as well as contractors and clients with whom they cooperate. On the other hand, there are already specialized technology companies that offer this type of analytical services, develop custom reports, which are the result of such multicriteria analyzes of large data sets obtained from various websites and entries and comments on social media portals.

In the context of the above considerations, the following question is also current: The difference between the analysis of data collected in Big Data database systems and on computerized Business Intelligence platforms? Both the processing and analysis of data collected in Big Data database systems and analytics conducted on computerized Business Intelligence platforms can support the company's management processes. However, not to the same extent and not in the same applications and fields of management. The difference is the processing and analysis of data collected in Big Data database systems can have very different functionality which is determined by the type and data sources stored in Big Data database systems. However, the analytics conducted on computerized Business Intelligence platforms is focused on specific aspects of the business, economic or financial and financial analysis of the company.

Dear Colleagues and Friends from RG

Some of the currently developing aspects and determinants of the applications of data processing technologies in Big Data database systems are described in the following publications:

Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation.

Best wishes

I would like to know how IoT will shape society and education in times to come.What role will it play in social and cultural transformation .

money making

In the context of the above considerations, I also propose the following research problem:

Which Industry 4.0 information technologies are developed by enterprises to improve logistics?

Which information technologies, including advanced information processing technologies, typical of the current technological revolution known as Industry 4.0 are developed by enterprises to improve logistics?

The current technological revolution described as Industry 4.0 is determined by the development of, inter alia, the following technologies of advanced information processing, including, among others: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced technologies Data Mining processing. These technologies are increasingly developed in enterprises and are applied, among others, in the processes of logistics improvement.

The advanced information processing technologies mentioned above find more and more applications in various fields of industry, production of goods, provision of services and the aim of improving logistics, including supply, production and distribution logistics. The number of industries, fields of economic activity and sectors of the national economy is growing, in which advanced information processing technologies typical of the present fourth technological revolution, known as Industry 4.0, are applied. The use of information technologies allows enterprises to improve the processes of traditionally implemented logistics of supplying production, production and distribution factors necessary for production as well as logistics of information services offered on-line by technological corporations.

In my opinion, currently cloud computing technologies, the Internet of Things, mobile devices connected to the Internet, learning machines, Big Data database systems are used to improve the logistics processes of enterprises, including supply, production and distribution logistics. Some large technology companies also build and develop technologies of artificial intelligence and Business Intelligence analytics to improve logistics and its offer of information services available mainly via the Internet.

Do you agree with me on the above matter?

In the context of the above issues, I am asking you the following question:

Which information technologies, including advanced information processing technologies, typical of the current technological revolution known as Industry 4.0 are developed by enterprises to improve logistics?

Please reply

I invite you to the discussion

Thank you very much

Best wishes