Διερεύνηση της αξιοποίησης της αναλυτικής των δεδομένων και της τεχνητής νοημοσύνης από τις ελληνικές επιχειρήσεις για τη στρατηγική τους ανάπτυξη
A study on the exploitation of data analytics and ΑΙ from the side of Greek companies for their strategic development
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Keywords
Τεχνητή νοημοσύνη ; Business analytics ; Στρατηγική ανάπτυξηAbstract
In modern society, technology plays a key role in the daily lives of people and businesses. The data gathered through various applications and the internet offer businesses valuable information about their customers, the market, competitors and other important parameters and enable them to make estimates for the future and to take decisions about it.
The paper consists of seven (7) chapters, through which the use of artificial intelligence and data analytics has been analyzed for its impact on the decision making of companies operating in Greece.
The first chapter takes a theoretical approach to new technologies such as big data, neural networks, machine learning, etc. as well as a historical review of the evolution of artificial intelligence over the years. It also analyses the decision making and the strategy that companies can implement based on the data they collect either from their internal or external environment (data driven strategy).
In the second chapter, the literature review from other researches that have been conducted on the topic addressed in this thesis and the results reported in them is referred to.
The third to fifth chapters present the empirical research and data analysis carried out on 92 companies operating in Greece in 2023. Descriptive and inferential statistical techniques were used to investigate the impact of factors such as the size of the companies in terms of employment, the number of human resources, the sector and their financial data on their strategic development decisions.
The last two chapters provide an extensive report on the conclusions and results obtained from the research conducted. The main feature of the results is that companies have turned to data collection and processing, the use of which is becoming increasingly important. Data management is critical for strategic decision making and many companies are investing in technologies and skills to use it effectively.