Strategic Integration of Artificial Intelligence in Business Operations

Artificial Intelligence (AI) has turn out to be a sizeable catalyst for transformation throughout numerous industries, which include company management. This paper delves into the opportunities, demanding situations and implementation techniques associated with integrating AI into commercial organisation management practices. This research study explores the numerous packages of AI in company control, starting from predictive analytics and decision aid structures to procedure automation and personalized customer stories. Leveraging AI-pushed structures and algorithms enables companies to enhance operational efficiency, optimize useful resource allocation and advantage treasured insights into market traits and customer behavior. However, the adoption of AI in enterprise control additionally offers several demanding situations, which includes issues related to information privateness, ethical considerations and the risk of algorithmic bias. Addressing these challenges necessitates a comprehensive approach involving technological advancements, regulatory frameworks and organizational cultural shifts.

Authors

Publication Details

Journal
Journal of Informatics Education and Research
Published
2025-07-26
DOI
https://doi.org/10.52783/jier.v5i3.3316
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Strategic Integration of Artificial Intelligence in Business Operations

DeepikaTaparia
Journal of Informatics Education and Research
Big Data and Business Intelligence
article

Strategic Integration of Artificial Intelligence in Business Operations

DeepikaTaparia
article en

Abstract

Artificial Intelligence (AI) has turn out to be a sizeable catalyst for transformation throughout numerous industries, which include company management. This paper delves into the opportunities, demanding situations and implementation techniques associated with integrating AI into commercial organisation management practices. This research study explores the numerous packages of AI in company control, starting from predictive analytics and decision aid structures to procedure automation and personalized customer stories. Leveraging AI-pushed structures and algorithms enables companies to enhance operational efficiency, optimize useful resource allocation and advantage treasured insights into market traits and customer behavior. However, the adoption of AI in enterprise control additionally offers several demanding situations, which includes issues related to information privateness, ethical considerations and the risk of algorithmic bias. Addressing these challenges necessitates a comprehensive approach involving technological advancements, regulatory frameworks and organizational cultural shifts.

Journal of Informatics Education and ResearchVol. 5(3)
Openalex Percentile: Top 69%
Big Data and Business Intelligence
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