Does the application of generative artificial intelligence and Big Data Analytics technologies enable the improvement of computerized Business Continuity Management support systems?
BCM systems, i.e., operating according to the Business Continuity Management concept, consist of managing business continuity. The implementation of Business Continuity Management in an enterprise is an important part of taking anti-crisis measures. Under Business Continuity Management, an organization, business entity, company, enterprise, financial or public institution takes steps to ensure that its critical business functions are available to customers, suppliers and regulators in the event of a crisis. Business Continuity Management is the concept of managing an organization, including taking the actions that an organizational unit must perform to ensure the continuity of its business. Depending on what type of entity it is, this will include continuity in the flow of data, raw materials and/or liquidity. In Polish corporate jargon, you may come across a situation to refer to this function as "CDN" which simply means "continuity will follow."
The purpose of Business Continuity Management is to build mechanisms to protect companies from the negative impact of disruptions, so that if a crisis occurs, business processes can continue. Business Continuity Management is not a process that a business unit implements during a failure, disruption or disaster just refers to activities that are carried out on a daily basis. This plan of action is aimed at eliminating or reducing the risk of an emergency, crisis situation and maintaining readiness for immediate response should the said crisis situation occur.
Ensuring the continuity of the operation of an economic entity or institution is one of the priority tasks of participants, including companies and enterprises operating in different types of markets: financial, logistics, suppliers of raw materials, recipients of finished goods, etc. The special role of ensuring business continuity in the context of the effective functioning of economic entities concerns institutions that are participants in financial systems, including, among others, commercial banks that co-create what is referred to as the "bloodstream of the economy."
In a situation of economic crisis in many companies and enterprises there is an escalation of various types of problems and an increase in risks. In crisis situations, the level of risk and likelihood of business interruption increases. Business interruption causes a spiral of consequences, resulting in a negative reaction from stakeholders and having an adverse impact on society. The consequence can be a lowering of the company's reputation, diminished value and brand. The consequence can also be a deterioration of the company's valuation by the market and rating agencies. This type of situation can also generate difficulties in raising the financial capital necessary for the continued development of the business entity. Besides, Business Continuity Management is part of corporate management. Accordingly, Business Continuity Management is a set of good practices providing guidelines for redesigning the processes of manufacturing products and providing services in such a way as to increase the organization's resilience to the occurrence of harmful disruptions of interrupted processes and incurring losses.
In recent years, the implementation of new ICT, Internet and Industry 4.0/5.0 communication technologies, including generative artificial intelligence and Big Data Analytics technologies to business entities contributes to increasing the efficiency of processes carried out within various spheres of business activity. The aforementioned technologies also support the management processes of companies, enterprises, financial or public institutions. The application of generative artificial intelligence and Big Data Analytics technologies makes it possible to improve computerized support systems for business continuity management processes.
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In view of the above, I address the following question to the esteemed community of scientists and researchers:
Does the application of generative artificial intelligence and Big Data Analytics technologies enable the improvement of computerized support systems for Business Continuity Management processes?
Does the application of artificial intelligence and Big Data Analytics enable the improvement of computerized Business Continuity Management systems?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz