Abstract
AI performs many tasks, including - creating and working in symbolic computing systems, creating and working in systems with fuzzy logic, cognitive psychology, understanding natural language, creating expert systems, computer linguistics, automation of various vocabulary and lexical cards, behavior planning (search and proposal of the most optimal way to achieve the goal, based on this situation), machine translation, creation and management of intelligent robots and groups of mobile robots, etc.
Highlights
One of the key features of the 21st century world economy development is the transition from the traditional vertical form of organization management to the concept of Business Process Management (BPM), which considers business processes as the main resources of the enterprise, the effective use of which leads to increased productivity
Automation of the relevant business process scenarios, which should be launched after the occurrence of certain events, taking into account the state of internal and external systems, people, different types of restrictions, etc.;
Mass application of AI technologies in the activities of organizations can lead to a number of serious consequences in the world: a sharp increase in labor productivity, improving the efficiency of the economy, changing the structure of the labor market, a radical rethinking of common norms and more
Summary
One of the key features of the 21st century world economy development is the transition from the traditional vertical form of organization management to the concept of Business Process Management (BPM), which considers business processes as the main resources of the enterprise, the effective use of which leads to increased productivity.Today, in addition to the constant factors of successful business process management, such as building a process architecture, defining key business processes and Key Performance Indicators (KPIs) and the distribution of areas of responsibility, the degree of process automation is one of the key factors. AI includes software systems such as heuristics, namely those designed to work in accordance with algorithms for which there is currently no or no defined formal solution model, i.e. they are based on experience in decision making.
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