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Vol. 6 No. 1 (2018): JITA - APEIRON

Dragan Mihić, Branko Latinović, Tomislav Vujinović

Model of the Processing and Selling Insurance Over the Internet

Original scientific paper

DOI: https://doi.org/10.7251/JIT16025M

Abstract

The growing demands in providing better services to customers, as well as reducing the cost of the insurance companies; while processing insurance quotes require the use of modern technologies such as the methodology of comparing prices and buying policies through the internet. There is a demand for providing a better customer’s quality of shopping, saving customers time and money and integrate all parameters in insurance companies that are important in calculating and creating insurance price.
The current way of exchange – search as integration of data, such as an incident book, would be replaced by a modern automatic search of the database, and use processes that meet all insurance standards. The institutions such as insurance supervisor authorities, state tax office and other institutions will be able to access the data in real-time and receive relevant and accurate information about the insured, the vehicles and the policy.
The research and developing model is based on study of regulation laid down by the Agency for supervision of insurance in Bosnia-Herzegovina and the collection of business data from insurance companies. Although tariffs and prices of vehicle insurance are unique for all insurance companies, there are differences in how the businesses are carried in insurance companies. 
Based on these studies and research the new model is developed and proposed for further development and improvement, integration, processing and sale of insurance policies through the Internet.

Keywords: Insurance, insured, bonus, malus, accident, premiums, insurance quote, insurance premium, damage.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.