If you had the opportunity, what artificial intelligence would you design and create to be helpful in the research, analytical, editorial, other work you do in conducting your scientific research and/or describing its results?
In your opinion, how would it be possible to improve the processes of conducted research and analytical work, processing of the results of conducted research through the use of artificial intelligence in combination with certain technologies typical of the current fourth technological revolution, technologies categorised as Industry 4.0, including analytics conducted on large sets of data and information, on Big Data Analytics platforms?
The development of artificial intelligence technologies has accelerated in recent years. New applications of specific information systems, various ICT information technology solutions combined with technologies typical of the current fourth technological revolution, technologies categorised as Industry 4.0, including machine learning, deep learning, artificial intelligence and analytics performed on large data and information sets, on Big Data Analytics platforms, are emerging. Particularly in the field of ongoing research work, where large sets of both qualitative information and large sets of quantitative data are produced, the aforementioned technologies are particularly useful in facilitating analytics, processing, elaboration of research results and their preparation for presentation at scientific conferences and in scientific publications. In the analytics of large quantitative data sets, analytical platforms built using integrated information systems, computers characterised by high performance computing power, equipped with servers, high-capacity memory disks, on which Big Data Analytics platforms are built, are used. On the other hand, artificial intelligence technology can also be useful for aggregating, multi-criteria processing and elaboration of large sets of qualitative information. In addition to this, certain IT applications, including statistical and business intelligence applications, are also useful for processing the results of studies carried out, presenting them in scientific publications, statistically processing large data sets, generating descriptions and drawing graphs based on them. As part of the digital representation of researched, complex, multi-faceted processes, digital twin technology can be useful. Within the framework of improving online data transfer, remote communication conducted between researchers and scientists, for example, Blockchain technology and new cyber security solutions may be helpful.
Probably many researchers and scientists would like to have state-of-the-art ICT information technologies and Industry 4.0. including Big Data Analytics, artificial intelligence, deep learning, digital twins, Business Intelligence, Blockchain, etc. Many researchers would probably like to improve the processes of the research and analytical work carried out, the processing of the results of the research carried out, through the use of artificial intelligence in combination with certain technologies typical of the current fourth technological revolution, technologies categorised as Industry 4.0, including the use of artificial intelligence and analytics carried out on large sets of data and information, on Big Data Analytics platforms.
The construction of modern laboratories, research and development centres in schools, colleges, universities, equipped with the above-mentioned new ICT information technologies and Industry 4.0 is therefore probably an important factor for the development of scientific and research and development activities of a particular scientific institution. However, it is usually limited by the financial resources that schools, colleges, universities are able to allocate for these purposes. However, should these financial resources appear, the questions formulated above would probably be valid. In such a situation, as part of a systemic approach to the issue, the construction of modern laboratories, research and development centres in schools, colleges and universities, equipped with the above-mentioned new information technologies, ICT and Industry 4.0, would also be determined by determining the priority directions of research work, the specific nature of the research carried out in relation to the directions of the teaching process, the mission adopted by the scientific institution in the context of its research, scientific work, the achievement of specific social objectives, etc.
In view of the above, I would like to address the following questions to the esteemed community of scientists and researchers:
In your opinion, how would it be possible to improve the processes of conducted research and analytical work, processing of the results of conducted research through the use of artificial intelligence in combination with certain technologies typical of the current fourth technological revolution, technologies classified as Industry 4.0, including analytics conducted on large sets of data and information, on Big Data Analytics platforms?
If you had the opportunity, what artificial intelligence would you design and create to be helpful in the research, analytical, editorial, other work you carry out as part of your scientific research and/or describing its results?
What artificial intelligence would you design and create to be helpful in the research, analytical, data processing, editorial, other work you are doing?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Counting on your opinions, on getting to know your personal opinion, on an honest approach to the discussion in scientific issues and not the ready-made answers generated in ChatGPT, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Thank you very much,
Best wishes,
Dariusz Prokopowicz
An AI system that can predict failure and calculate the degradation accordignly without my interference, but with accuracy would be very helpful.
AI systems may automatically evaluate data and find hidden trends, patterns, and insights that can be used by staff to make more educated decisions. This is done with the aid of machine learning algorithms. By employing natural language generation, AI automates report creation and simplifies data.
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