IMPACT OF ARTIFICIAL INTELLIGENCEAND LONG SHORT-TERM MEMORY SCRIPTWRITING PLATFORMS ON BUSINESS-PROCESSES OPTIMIZATION OF CONTROL SYSTEMS IN FILM INDUSTRY

The optimization of film production through global standards and advanced software remains underutilized in CIS countries due to regional specifics and language barriers. Consequently, inefficiencies in resource management, time allocation, and quality control persist. The film industry's rapid development has led to unstructured business processes that hinder optimization and standardization. This research aims to develop a business process management model utilizing artificial intelligence (AI) and recurrent neural networks (RNNs), particularly long short-term memory (LSTM) networks, to enhance scriptwriting automation. The proposedAI-driven platform facilitates script generation, empowering filmmakers by reducing dependency on experienced screenwriters. This paper presents practical solution for potential impact on filmmaking efficiency.

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Publication Details

Journal
Habaršy. Fizika-matematikalyķ ġylymdary seriâsy
Published
2025-03-01
DOI
https://doi.org/10.51889/2959-5894.2025.89.1.013
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

IMPACT OF ARTIFICIAL INTELLIGENCEAND LONG SHORT-TERM MEMORY SCRIPTWRITING PLATFORMS ON BUSINESS-PROCESSES OPTIMIZATION OF CONTROL SYSTEMS IN FILM INDUSTRY

Gulden Murzabekova, Aidiye Aidarbekov, A. Ibraiymov, Anel Aidarbekova et al.
Habaršy. Fizika-matematikalyķ ġylymdary seriâsy
Business Process Modeling and Analysis
article

IMPACT OF ARTIFICIAL INTELLIGENCEAND LONG SHORT-TERM MEMORY SCRIPTWRITING PLATFORMS ON BUSINESS-PROCESSES OPTIMIZATION OF CONTROL SYSTEMS IN FILM INDUSTRY

Gulden Murzabekova, Aidiye Aidarbekov, A. Ibraiymov, Anel Aidarbekova, N. Satybaldy
article en

Abstract

The optimization of film production through global standards and advanced software remains underutilized in CIS countries due to regional specifics and language barriers. Consequently, inefficiencies in resource management, time allocation, and quality control persist. The film industry's rapid development has led to unstructured business processes that hinder optimization and standardization. This research aims to develop a business process management model utilizing artificial intelligence (AI) and recurrent neural networks (RNNs), particularly long short-term memory (LSTM) networks, to enhance scriptwriting automation. The proposedAI-driven platform facilitates script generation, empowering filmmakers by reducing dependency on experienced screenwriters. This paper presents practical solution for potential impact on filmmaking efficiency.

Habaršy. Fizika-matematikalyķ ġylymdary seriâsyVol. 89(1)
S.Seifullin Kazakh Agro Technical University (KZ), Maqsut Narikbayev University (KZ), Astana Medical University (KZ)
Openalex Percentile: Top 83%
Business Process Modeling and Analysis
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