APPROACHES TO PREDICTIVE DATA PROCESSING IN ARTIFICIAL INTELLIGENCE SYSTEMS. PART 2. ACHIEVING PRACTICAL EFFECTS
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Annotation: In Part 1 (sections 1-7) probabilistic methods for solving problems of predictive processing of monitoring data are co nsidered. The methods help to do effective use the capabilities of artificial intelligence (AI). The approach includes probabilistic models and methods that allow predicting the probability of "success" and/or the risk of failure for complex objects and sy stems, ways to solve the problem of justifying proactive measures to counter threats and effective risk management. In this part 2, examples explaining the achievement of possible effects from the use of AI are analyzed in application to specific practical systems.
Keywords: method, model, monitoring, probability, risk, system, technology
For citation: Kostogryzov A.I., Nistratov A.A. Approaches to predictive data processing in artificial intelligence systems. part 2. achieving practical effects // Electronic Scientific Journal IT-Standard. – 2022. – No. 1. – pp. .