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.
In view of the above, the current question is: The development of analytics and information processing in large data sets for the needs of scientific works?
Please, answer, comments. I invite you to the discussion.
The above question inspired me to the following considerations:
Will Big Data database technologies be available in the future also for companies from the SME sector?
Advanced technologies of digitalization and automation of data processing first find their application in business. Then also in public institutions can be introduced including in the field of e-governance. This also applies to Big Data database technologies, which is applicable in various sectors of the economy, but due to the high investment costs of implementing this technology in the business processes of business entities, so far only large corporations and larger enterprises can afford such technologies. However, in the future, investment costs of implementing tech technologies into business processes should decrease and processing technologies and data collection in Big Data database systems should be available also for smaller companies, including business entities of the SME sector.
I invite you to the discussion.
Will the information collected and processed in the Big Data database systems in future be able to accurately check future climate disasters?
Information collected and processed in Big Data database systems from climate change
In my opinion, information obtained from various research centers, meteorological centers, satellites, etc., then collected and processed in Big Data database systems should help in more and more precise prediction of new, unfavorable weather phenomena, including climatic cataclysms and others. In this way, earlier and in a more planned way, crisis management systems can be organized in the situation when the predetermined flood disaster becomes real and will happen. Gradually increasing computing power of powerful computer servers managing platforms of Big Data database systems, implemented artificial intelligence, increasing number of verified historical data on the overall climate phenomena on Earth will allow in the future more precisely, more accurately determine the level of threats, risk value, predict time, place and scale adverse weather events, i.e. also cataclysms that threaten people's lives.
Therefore, the question is still valid:
Will the information collected and processed in the Big Data database systems in future be able to accurately check future climate disasters?
Please, answer, comments. I invite you to the discussion.
Will the artificial intelligence for Business Intelligence application be implemented as part of the ongoing computerization of analytical processes?
Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting.
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.
Specialized IT companies produce applications that help in conducting economic analyzes, i.e. the Business Intelligence platform.
More and more often, large and medium-sized companies use these platforms to adapt them to the specifics of their business.
However, in what direction will technological progress be realized in this field?
In view of the above, the current question is: Will the artificial intelligence for Business Intelligence application be implemented as part of the progressing computerization of analytical processes?
Please, answer, comments. I invite you to the discussion.
Will future Big Data database systems supported by artificial intelligence be used in precise forecasting in order to verify futurological projections?
Currently, it is difficult to define this type of analytic problem. The key issue is forecasting future global problems. It is necessary to collect additional analytical data over the next years, and perhaps in the 21st century, in huge Big Data database systems supported by another generation of artificial intelligence, it will be possible to predict what may happen to the planet Earth in the future.
In view of the above, the current question is: Will future Big Data database systems supported by artificial intelligence be used in precise forecasting for the verification of futurological projections?
Please, answer, comments. I invite you to the discussion.
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 view of the above, the current question is: Do Big Data companies use Business Intelligence to operate in your countries?
Please, answer, comments. I invite you to the discussion.
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. Greetings
My personal experience dating back to 1993 is that those of us trained as epidemiologists were nimble enough to learn how to use database tools to gather data for econometric analysis. We combined medical claims, laboratory and other data to answer questions.
A few years back, many of us working particularly in industry settings were replaced by big data hadoop programmers with no clinical or scientific methods training.
This has shifted jobs to people who 20 years ago would have been purely IT professionals working with us.
I now see pendelum shifting back but I dont think academic programs have known hiw to respond.
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