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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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