Impact of artificial intelligence on process optimization and business decision-making
DOI:
https://doi.org/10.47185/27113760.v6n1.182Keywords:
Artificial Intelligence, Process Optimization, Decision Making, Machine Learning, Big DataAbstract
The study examines the impact of artificial intelligence on process optimization and business decision-making, highlighting its role in digital transformation and sustainability. It is based on a systematic literature review following the PRISMA methodology, using databases such as Scopus. The findings indicate that AI boosts operational efficiency through machine learning, Big Data, and other advanced technologies, enabling automation, predictive analytics, and improved knowledge management. Furthermore, there is exponential growth in academic research on AI, driven by its application in key sectors such as manufacturing, retail, the pharmaceutical, and financial industries. However, its implementation poses challenges in governance, data quality, and ethical decision-making, highlighting the need to develop regulatory frameworks that ensure its responsible use. In conclusion, artificial intelligence has established itself as a strategic tool for process optimization and business decision-making, generating tangible benefits in efficiency and sustainability, although it requires structured approaches for its effective integration.
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