To what extent do new ICT information technologies facilitate the development of science?

Traditional decision-making methods in management are based on the analysis of historical data, the experience of management staff and the intuition of managers. In the age of Big Data Analytics, AI chatbots and advanced predictive analytics, the question arises as to whether models based on generative artificial intelligence and big data processing can effectively replace existing approaches to decision-making in organisations.

Big Data Analytics allows for better prediction of market trends, optimisation of operational processes and personalisation of customer services. Companies implementing predictive analytics can gain a competitive advantage by reacting faster to changing market conditions. However, there is a problem of interpreting the results of the analyses and the need to adapt them to the business context. Furthermore, dependence on algorithms can limit the flexibility of organisations, especially in situations that require creativity and a non-standard approach to problem solving. The ethical use of data is also an important aspect – algorithms can reflect unconscious biases encoded in historical data, leading to erroneous or unfair decisions.

Therefore, advanced predictive analytics can significantly improve the effectiveness of managerial decisions, but its full implementation requires the adaptation of organisational culture and investment in IT infrastructure, including the development of analyses carried out on computerised platforms equipped with Big Data Analytics and generative artificial intelligence technology.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in the article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT