Can the application of generative artificial intelligence technology and Big Data Analytics improve the processes of predictive analytics performed as part of Business Intelligence?
Can the application of generative artificial intelligence technology and Big Data Analytics improve the processes of predictive analytics carried out within the framework of Business Intelligence and thus the effectiveness of business, economic and financial analytics supporting the management process of an organization, enterprise, company, corporation, etc., can be increased? And if so, how and to what extent?
As information systems that allow the largely automated performance of Business Intelligence analytics become an important factor in supporting the process of business management, so the importance of the new technologies of Industry 4.0/5.0, including generative artificial intelligence and Big Data Analytics, to improve the said analytical processes is growing. On the one hand, the obvious point is that the application of generative artificial intelligence technology and Big Data Analytics can improve the processes of predictive analytics carried out within the framework of Business Intelligence, and thus the effectiveness of business, economic and financial analytics supporting the management process of an organization, enterprise, company, corporation, etc. can be increased. However, on the other hand, it is also important to precisely define the determinants that determine the performance of such analytical processes, to point out the role of the new technologies of Industry 4.0/5.0, including generative artificial intelligence and Big Data Analytics technologies in the processes of predictive analytics carried out within the framework of Business Intelligence, and to estimate the extent of the influence of these technologies on the improvement of the said analytical processes.
I am conducting research on this issue. I have included the conclusions of my research in the following article:
Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data
Chapter Business Intelligence analytics based on the processing of l...
I invite you to familiarize yourself with the problems described in the publications given above and to cooperate with me in scientific research on these problems.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can the application of generative artificial intelligence technology and Big Data Analytics improve the processes of predictive analytics carried out within the framework of Business Intelligence and thus the effectiveness of business, economic and financial analytics supporting the management process of an organization, enterprise, company, corporation, etc., can be increased? And if so, how and to what extent?
Can the use of generative artificial intelligence and Big Data Analytics technologies improve the processes of predictive analytics performed as part of Business Intelligence?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
This will be a great event to researchers in this field
https://fllm2024.fllm-conference.org/Workshops/PromptEng2024/
There is now a broad consensus that many areas of AI can be used for data analysis tasks. The same will apply to forecasts that are created, for example, on the basis of deep neural networks or a combination of machine learning and advanced statistical algorithms. However, the use of generative (!) artificial intelligence technology for predictive analytics seems problematic to me. Even if there were sufficient data or cases in large volumes and high quality, how could a user trust the results of generative AI? Even if forecasts generated in this way had an acceptable level of accuracy, this would not necessarily lead to an acceptance of AI-based forecasts. I would question whether generative AI can really generate good forecasts. What is more important to me, however, is that generative AI should not be used, at least for important forecasts (e.g. sales or market forecasts), as they are not comprehensible and verifiable.
In the Business field, Big data and AI can improve intelligence analytics process so all predictions solve all problems and issues, you can predict customers and industries that can touch the public needs and areas that able to invest with the kind of investments.
With the development of generative artificial intelligence technology applied to the analysis of large data sets and information on Big Data Analytics platforms, including data downloaded from the Internet and analyzed in real time, and involving increasingly powerful computers, including quantum computers, the ability to perform more and more perfect predictive analysis for increasingly complex and multifaceted processes will grow.
Please write what you think in this issue?
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Article OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL I...
Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this issue?
I invite you to scientific cooperation in this problematic.
Kind regards,
Dariusz Prokopowicz
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