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Abstract: Artificial
intelligence (AI) refers to the capacity of machines or digital systems to
perform tasks traditionally requiring human intelligence. Machine learning (ML)
and deep learning (DL) are among the most prominent applications of AI,
enabling advancements in a range of industries, including sales, recruitment,
operations, and cyber security. This review provides an overview of AI's
applications and highlights its transformative effects on business processes
and organizational efficiency.
In
the context of sales, AI has shown remarkable potential in improving
operational performance. By integrating AI into sales workflows, companies have
been able to increase lead generation by more than 50%, reduce call durations
by 60-70%, and achieve cost reductions ranging from 40% to 60%. AI also plays a
significant role in customer segmentation by providing deep insights into
target demographics, which leads to enhanced conversion rates and alleviates
the burden on sales teams.
AI
has further revolutionized internal operations through automation, improving
both efficiency and accuracy. For example, computer vision, a specialized AI
technology, offers real-time recommendations based on visual data,
significantly enhancing customer targeting. By identifying patterns in consumer
behavior, businesses can deliver more personalized and relevant information to
their customers. Furthermore, AI reduces the reliance on repetitive tasks,
empowering employees to focus on more complex, strategic work, thus increasing
overall productivity.
In
recruitment, AI is increasingly being utilized to assess candidates’
qualifications and potential based on historical data, such as interests and
prior work experience. This allows for more accurate and efficient hiring
decisions, ensuring a better match between candidates and roles. Additionally,
AI creates adaptive, self-updating systems for relationship management,
optimizing customer and client interactions while streamlining business
operations.
AI
also contributes significantly to enhancing cyber security. By continuously
monitoring data for abnormal patterns, AI systems are capable of detecting
potential threats, identifying their sources, and taking proactive measures to
mitigate risks. This ability to safeguard digital infrastructures is critical
for maintaining secure and efficient organizational environments.
While the applications of AI in these domains offer clear benefits, it is important to address the broader implications of AI adoption, particularly in employment and entrepreneurship. The potential for AI to disrupt traditional job markets and create new entrepreneurial opportunities warrants further research. This review underscores the need for future investigations to explore the complex relationships between AI adoption and its socio-economic impacts, focusing on employment models, job displacement, and the evolution of entrepreneurial ventures. DOI: https://doi.org/10.51505/IJEBMR.2025.9119 |
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