If in many research works, for the purposes of conducted scientific research, the analysis of information collected in Big Data database systems is already used, more and more attempts will be made by various research centers to use data processing in the cloud data collected in Big Data database systems. The data mining technology, artificial intelligence, business intelligence and other advanced information and analytical technologies will also be added to this.
I invite you to the discussion
One approach may be to consider some "low hanging fruit" and pursue questions we have not been able to previosuly answer due to data liminations. Then, as we become more engaged with the data, new ways of thinking about data applications will likley emerge. The fun part of this approach is to identify what we think we might be able to address, and then develop strategies to apply the data to examine these questions.
I agree with John Mann ; however, I think that it may not reach to create innovations, where Dariusz Prokopowicz would like to arrive, because the research questions itself are not new. I believe that (1) "a researcher's keen insight on why the phenomenon of interest happens" and (2) "liberal arts knowledge (i.e., creativity)" where the insight of humanities begins make a significant difference in bringing something new to light. That is, data itself is neutral. A researcher is a story teller. How to create the story utilizing the data is the very heart of the matter. Thus, before considering the data processing technologies, we should ask ourselves what we want to see. My suggestion is to collaborate with researchers in social science or humanities. Through such a trans-disciplinary collaboration, I published an innovative theory: Article Optimizing Staffing, Quality, and Cost in Home Healthcare Nu...
in a top nursing journal, and I am now developing the theory-driven artificial intelligence algorithms in collaboration with industrial engineering experts. I also developed the theory-driven decision psychological strategy that can make a difference in practice (currently under review). I found a critical clue about how to link between my theory and decision psychological theories through working as a translator of Korean poet Seok-Nam Jang (https://en.wikipedia.org/wiki/Jang_Seoknam)'s poems and prose in collaboration with American poet Paulette Bane (https://pauletteguerinbane.wordpress.com/). I developed the problem-solving experience to share with the other nurse scientists, which is expected to submit next year. In summary, "why" rather than "how" is much more important for us to achieve the innovation in science.
In what philosophical context the "new idea" should be defined?
How can we categorize the concepts and discover which are new and which are just transformation of other ideas?
Is transformation of an idea to another should be considered as a new idea?
How the applicability of the new idea should be assessed?
What are the time-constraints we should define for analyzing the GOODNESS of the new idea generated by computer?
The new Idea should address any ob current problems or it may introduce new problem?
Your question is asked in what domain? Art? Mathematical problem solving? solution Optimization? Problem reformulation?
the above questions are just a few things from the long list of unknowns or should-be-defined in your question's domain...
Ali Rezaee
I articulated the answer to your question in this article:
Article Thinking 'Outside the Box'
Article Challenging Rules, Creating Values: Park's Sweet Spot Theory...
Thank you for your comment!
In my opinion, it is good that there was a discussion in the question of this query.
How can you use the data processing technologies in the cloud in Big Data database systems for the purpose of creating innovations?
The answers given are very inspiring. Interesting considerations, responses and conclusions have emerged that can be an inspiration to continue research in this area.
Therefore, I am still reading the answers, following the interesting discussion.
Thank you for your answers and I encourage you to continue your discussion, to continue the interesting discussion.
Does anyone of you know examples confirming the use of cloud computing technology in Big Data database systems to create innovations? If so, please provide links to the publication on this topic. Best wishes
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