DIGITAL TECHNOLOGIES IN THE CONDITIONS OF DIGITAL ECONOMY FORMATION
DOI:
https://doi.org/10.25264/2311-5149-2020-19(47)-20-28Keywords:
digital economy, technologies of digital economy, Blockchain, Internet of things, Big data, Cloud technologies, Artificial intelligenceAbstract
The article substantiates that the successful development of the digital economy is closely linked to progress in several “frontier technologies”, among which the most important are such software-oriented technologies as Blockchain, the Internet of Things (IoT), Big Data Analytics, Artificial Intelligence (AI), Cloud Computing, Artificial Intelligence (AI). It is determined that together these technologies provide new opportunities for better analysis, processing and use of digital information, which gives new opportunities for companies to improve their efficiency by offering new, more personalized products and services.
In general, the article analyzes the leading technologies used in the formation of the digital economy, identifies their essence, types, and methods of practical application. The properties, potential advantages, and risks of blockchain technology are studied. The article gives examples of companies that use blockchain. They represent such areas as finance, data management, energy, government, transport, health.
The main components of the Internet of Things are identified. These include means of identification, means of measurement, means of data transmission, means of data processing, performing devices. The hierarchy of the Internet of Things is also given. It consists of personal wearable devices, smart homes, and smart industry (industrial internet). The phases of the “industrial Internet” development are presented. The essence and constituent characteristics of Big Data are determined. Among them: volume, velocity, variety, value, veracity, variability, visualization. It is determined that the key sources of Big Data are information from the Internet; readings of various devices; corporate information. The competitive advantages of companies that use Big Data are given. Also, the advantages and models of using cloud technologies are described. The essence and components of artificial intelligence are determined. An example of its application in the economic activity of companies is presented.
How to quote:
Semenog A. Yu. Digital technologies in the conditions of formation of digital economy. Scientific notes of the National University "Ostroh Academy". Series "Economics": a scientific journal. Ostrog: NaUOA Publishing House, September 2020. № 19 (47). Pp. 20–28.
Formula: 0; fig .: 0; tab .: 2; bibl .: 37.
Link:
1. Lamport L. (1998). The Part-Time Parliament. ACM Transactions on Computer Systems, 16 (2), 133–169.
2. Nakamoto S. (2009). Bitcoin: A Peer-to-Peer Electronic Cash System. <https://bitcoin.org/bitcoin.pdf> (10
September 2020).
3. Li X., Jiang P., Chen T., Luo X., Wen Q. (2018). A Survey on the Security of Blockchain Systems. Future
Generation Computer Systems, 1–25.
4. Correia M., Veronese G. S., Neves N. F., Verissimo P. (2011). Byzantine consensus in asynchronous messagepassing systems: a survey. International Journal of Critical Computer-Based Systems, 2 (2), 141–161.
5. Bano S., Sonnino A., Al-Bassam M., Azouvi S., McCorry P., Meiklejohn S., Danezis G. (2017). SoK: Consensus
in the age of Blockchains. <https://arxiv.org/pdf/1711.03936.pdf> (10 September 2020).
6. Viriyasitavata W., Hoonsoponb D. (2019). Blockchain characteristics and consensus in modern business
processes. Journal of Industrial Information Integration, 13, 32–39.
7. Tapscott D., Tapscott A. (2019). Blockchain revolution. Yak tekhnolohiia, shcho lezhyt in the basis of bitcoin ta inshykh
kryptovaliut, zminiuie svit [Blockchain revolution. How underlying technology of bitcoin and other cryptocurrencies is
changing the world)]. Lviv: Litopus. [in Ukrainian]
8. Kovalev MM, Golovenchik GG (2018). Cifrovaya ekonomika - shans dlya Belarusi: monohrafiia [Digital
economy is a chance for Belarus]. Minsk: Izd. BGU center. [in Russian]
9. Swan M. (2017). Blockchain. Scheme of the new economy [Blockchain. New Economy Outline]. Olimp
"Business." [in Russian]
10. Smart Contracts in Financial Services: Getting from Hype to Reality (2016). Capgemini Consulting. <https: //
www.capgemini.com/consulting-de/wp-content/uploads/sites/32/2017/08/smart_contracts_paper_long_0.pdf>.
11. Mesropyan E. (2017) 20 areas of application of Blockchain outside financial services, ch. 1 [20 areas of blockchain
application outside financial services, part 1]. Habr, January 30 <https://habr.com/ru/company/wirex/blog/397999/>
(10 September 2020). [in Russian]
12. McAfee A., Brynjolfsson E. (2019). Mashyna, platform, natovp. Yak pryborkaty nashe tsyfrove maibutnie
[Machine, Platform, Crowd. Harnessing Our Digital Future]. Kyiv: Nash Format. [in Ukrainian]
13. Dzhunskalieva D. (2018). Delo praktiki: 15 samyh interesnyh primerov ispol’zovaniya blokchejn-tekhnologii
[A Case of Practice: 15 Most Interesting Use Cases of Blockchain Technology]. Coinlife, May 17. <https: // coinlife.
com / analytics / delo-praktiki-15-samyh-interesnyh-prime /> (10 September 2020) [in Russian]
14. Mchugh J. (2004). Attention, Shoppers: You Can Now Speed Straight Through Checkout Lines! Wired. January
07. <https://www.wired.com/2004/07/shoppers/>. (10 September 2020).
15. Gershenfeld N., Krikorian R., Cohen D. (2004). The Internet of Things. Scientific American, 291 (4), 76–81.
16. Madakam S., Ramaswamy R., Tripathi S. (2015). Internet of Things (IoT): A Literature Review. Journal of
Computer and Communications, 3, 164–173.
17. Hrinhard S. (2018). Internet rechei [Internet of Things]. Kharkiv: Simel's leisure club. [in Ukrainian]
18. Product Definitions for Smart Manufacturing. National Institute of Standards and Technology. <https: // www.
nist.gov/programs-projects/product-definitions-smart-manufacturing> (21 September 2020).
19. Schwab K. (2019). Fourth industrial revolution. Formuiuchy chetvertu promyslovu revoliutsiiu [The Fourth
Industrial Revolution. Shaping The Future Industrial Revolution]. Kharkiv: Simel's leisure club. [in Ukrainian]
20. Internet of Things. (2019). Statistician. <https://www.statista.com/study/27915/internet-of-things-iot-statistadossier/> (25 September 2020).
21. Internet of Things Market Analysis - 2026 (2019). Fortune Business Insights. Market research report. FBI 100307.
<https://www.fortunebusinessinsights.com/industry-reports/internet-of-things-iot-market-100307> (25 September 2020).
22. Worldwide Internet of Things Spending Guide. (2019). IDC Report. <https://www.idc.com/getdoc.
jsp? containerId = IDC_P29475> (25 September 2020).
23. Lynch C. (2008). How do your data grow? Nature, 455 (4), 28–29.
24. Jacobs A. (2009). The pathologies of big data. Communications of the ACM, 52 (8), 36–44.
25. Loukides M. (2010). What is data science? O’Reily Radar. <https://www.oreilly.com/radar/what-is-datascience/> (03 October 2020).
26. Big Data. A New World of Opportunities. (2012). The Networked European Software and Services Initiative.
NESSI White Paper. <http://www.nessi-europe.com/Files/Private/NESSI_WhitePaper_BigData.pdf> (03 October 2020).
27. Laney D. (2001). 3 D Data Management: Controlling Data Volume, Velocity, and Variety. Meta Group. <
https://blogs.gartner.com/doug-laney / files / 2012/01 / ad949-3D-Data-Management-Controlling-Data-Volume-Velocityand-Variety.pdf> (03 October 2020).
28. O’Halloran D., D’Souza F. (2020). Data is the new gold. This is how it can benefit everyone - while harming
no one. World Economic Forum. July 29. <https://www.weforum.org/agenda/2020/07/new-paradigm-business-datadigital-economy-benefits-privacy-digitalization/?fbclid=IwAR1yn9oLkebGF79G79MqUKXciy_gPsMPCOdKwoNU
E70RHcgstM1C3izLtNc> (03 October 2020).
29. Big Data. (2019). Statistician. <https://www.statista.com/study/14634/big-data-statista-dossier/> (03 October 2020).
30. Carnelley P., Schwenk H. (2016). Big Data Turning Promise Reality. IDC. IDC White Paper. <https://ru.scribd.
com / document / 343663115 / Dell-Emc-Big-Data-Turning-Promise-Reality> (03 October 2020).
31. Stamford C. (2017). Gartner Says Worldwide Public Cloud Services Market to Grow 18 Percent in 2017.
Gartner. <https://www.gartner.com/en/newsroom/press-releases/2017-02-22-gartner-says-worldwide-public-cloudservices-market-to-grow-18-percent-in-2017> ( 05 October 2020).
32. Marr B. (2019). The 7 Biggest Technology Trends In 2020 Everyone Must Get Ready For Now. Forbes.
September 30. <https://www.forbes.com/sites/bernardmarr/2019/09/30/the-7-biggest-technology-trends-in-2020-
everyone-must-get-ready-for-now / # 4183f6092261> (05 October 2020).
33. Mehta D., Hamke AK. (2019). In-depth: Artificial Intelligence 2019. Statista Report. <https: //www.statista.
com / study / 50485 / artificial-intelligence /> (08 October 2020).
34. Marr B. (2019). The 10 Best Examples of How Companies Use Artificial Intelligence in Practice. Forbes.
December 9. <https://www.forbes.com/sites/bernardmarr/2019/12/09/the-10-best-examples-of-how-companies-useartificial-intelligence-in-practice/#5889471d7978> ( 10 October 2020).
35. Artificial Intelligence and robotics high on financial services agenda (2016). Consultancy.uk. 2016. July 06.
<https://www.consultancy.uk/news/12266/artificial-intelligence-and-robotics-high-on-financial-services-agenda> (10
October 2020).
36. Schroer A. (2020). AI and the bottom line: 15 examples of artificial intelligence in finance. BuiltIn. March 25
<https://builtin.com/artificial-intelligence/ai-finance-banking-applications-companies> (10 October 2020).
37. Digital Economy Compass (2019). Statistician. <https://www.statista.com/study/52194/digital-economy-compass/>
(10 October 2020).
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