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Ilkin Seyidzade, Rudnak Ildiko: General Implementation Processes of Artificial
Intelligence and Its Economic Effects in Hungary
While emerging and developing technology may not be fully understood, but of
increasing importance, it is almost a basic requirement in business as it intensifies
competition in various industries. Those who do not have the appropriate
technological capabilities will be left behind, eliminated from the competition, so
every company needs to keep up the pace. Of course, there are both advantages and
disadvantages of the new technology options, which should always be assessed, the
same way as the resources and tools available, and the difficulties of the
implementation. AI is globally present, not only within a country's borders but also
internationally. The purpose of this study is to analyze the technological situation of
a country, Hungary and the areas of the AI used. The dissertation tries to explore
which industries use AI, what the benefits are, what difficulties do Hungarian
companies face in implementation and integration of AI, and what possibilities and
opportunities AI brings and holds for the future.
Requirements of AI implementation
Although AI is gaining popularity, many companies have not heard of it or do not
know exactly how it works, what it is good for and how to use it. For the companies
to get to know if they need this technology, they need to identify the problem. AI is
not just about data; it is about understanding the relationship between data acquired
and the problem to be solved. There are 3 main aspects to consider: consistency,
completeness, and compactness. Consistency mentions the significance of
standardization to avoid analytical problems. Equally important is the availability
and readiness of a complete data set. And compactness involves the concision and
singularity of data and information. If these three components are not available,
likely, the AI-based model will not work properly. However, implementing AI is not
such a simple process, companies should always try to build from the bottom up
after defining the concrete goals. A proper and extensive IT system and structure
within the company is also essential, which includes servers, proper data storage
capabilities, and the right methods to run code and algorithms (Shuja, 2017).
Also, there are a few other requirements that must be met to properly implement an
AI system, mainly by evaluating existing system requirements and data. By
analyzing data sets, the following checks are required before starting the
implementation. In fact, what data is needed to be successfully executed and which
of these data is available internally and externally. Besides, it is necessary to
examine how up-to-date these data sets are and how often existing data is updated.
Comparing and combining all data sets takes approx. how long it takes to get a full
picture of them. It also helps you determine how often your business model will
need to be updated. By creating data models, the company makes a major
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