Artificial Intelligence and Machine Learning in Human Resource Management and Market Research for Enhanced Effectiveness and Organizational Benefits

This study investigates the substantial implications of cutting-edge technology on forecasting market demand, improving safety, and human resource management (HRM). The study simplifies the candidate selection method by applying Long Short-Term Memory (LSTM) models to automate application screening....

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Bibliographic Details
Published in2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) pp. 1135 - 1140
Main Authors Indoria, Devadutta, Narendra Kiran, P B, Kumar, Anuj, Goel, Manjusha, Shelke, Nitin Arvind, Singh, Jagendra
Format Conference Proceeding
LanguageEnglish
Published IEEE 03.11.2023
Subjects
Artificial Intelligence
Decision tree
Long short term memory
LSTM
machine learning
Neural network
Predictive models
Real-time systems
Resource management
Safety
Sensors
Temperature sensors
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Summary:This study investigates the substantial implications of cutting-edge technology on forecasting market demand, improving safety, and human resource management (HRM). The study simplifies the candidate selection method by applying Long Short-Term Memory (LSTM) models to automate application screening. The use of Arduino micro controllers in conjunction with temperature, fire, and smoke sensors increases real-time reactions to potential dangers for improving safety in resource management. Artificial neural networks (ANN) are used to forecast market demand based on data from automotive sales from 2016 to 2023. The outcomes demonstrate how effective each technique was. LSTM-driven applicant screening demonstrates the capacity to boost HRM by accelerating the recruiting process. The integration of Arduino controllers demonstrates rapid and precise risk recognition, enhancing industrial safety. When it comes to forecasting automotive sales for 2022, the ANN model, in particular, predicts market demand with astonishing precision, achieving a 100 % accuracy rate. This implies that it is capable of strategic planning and resource management. These findings underscore the critical role that AI-driven systems play in improving organisational performance, security, and decision-making, as well as the revolutionary potential of AI -driven systems across a wide range of industries. By acting as a sobering reminder of the dynamic interplay that happens between industry and technology, the research lays the path for a more safe and successful future.
DOI:10.1109/ICCCIS60361.2023.10425709