How can machine learning technology, deep learning and a specific generation of artificial intelligence applied to Big Data Analytics platforms help in the processes of managing the effective operation and growth of an innovative startup?
How should a system architecture built from modules incorporating implemented machine learning, deep learning and specific generation artificial intelligence, Big Data Analytics and other Industry 4.0 technologies be designed to assist in the improvement of computerised Business Intelligence analytics platforms and thus in the processes of managing the effective operation and development of a commercially operating innovative startup?
The development of innovation and entrepreneurship, including the effective development of innovative startups using new technologies in business, is among the key determinants of a country's economic development. Among the important factors supporting the development of innovativeness and entrepreneurship, apart from system facilitations, a favourable tax system, low interest rates on investment loans, available non-refundable financial subsidies, there is also the issue of the possibility of implementing new technologies, including Industry 4. 0, including, but not limited to, technologies such as artificial intelligence, machine learning, deep learning and Big Data Analytics, Internet of Things, digital twins, multi-criteria simulation models, cloud computing, robots, horizontal and vertical data system integration, additive manufacturing, Blockchain, smart technologies, etc., can be helpful in the process of improving the management of economic entities, including service companies, manufacturing enterprises and innovative start-ups. These information technologies and Industry 4.0 can also help to improve Business Intelligence used in business management. The key issue is the proper combination of applied Industry 4.0 technologies to create computerised platforms supporting the processes of managing both the current, operational functioning of economic entities and in the processes of forecasting the determinants of the development of companies and enterprises, in the creation of forecasting models of simulation of development for a specific economic entity, which may also be an innovative start-up. In recent years, attempts have been made in larger business entities, corporations, financial institutions, including commercial banks, to create computerised Business Intelligence analytical platforms improved through a combination of applied technologies such as machine learning, deep learning and a specific generation of artificial intelligence applied to Big Data Analytics platforms. Such processes for improving Business Intelligence analytical platforms are carried out in order to support the management of the effective operation and development of a commercially operating specific business entity. Therefore, in a situation where specific financial resources are available to create analogous Business Intelligence analytical platforms, it is possible to apply an analogous solution to support the management of the effective operation and development of a commercially functioning specific innovative start-up.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can machine learning technology, deep learning and a specific generation of artificial intelligence applied to Big Data Analytics platforms help in the processes of managing the effective operation and development of an innovative startup?
How should a system architecture built from modules containing implemented machine learning technology, deep learning and a specific generation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies be designed to assist in the improvement of computerised Business Intelligence analytics platforms and thus in the processes of managing the effective operation and development of a commercially operating innovative startup?
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Please respond,
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Thank you very much,
Best wishes,
Dariusz Prokopowicz
Hello Dariusz Prokopowicz , The findings of the below referred paper have implications for understanding how entrepreneurs adopt and use digital technologies in their entrepreneurial activities. Entrepreneurs who exhibit a propensity for adopting digital technologies and DIY behavior, are likely to be more open to adopting and utilizing such tools in their growth management processes, potentially benefiting their innovative startup's growth trajectory.
Article Digital entrepreneurial acceptance: an examination of techno...
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