Proceedings of the 9th International Conference on Research in Management and Economics
Year: 2024
DOI:
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Advanced AI-Driven Business Evolution: Enhancing Integration Strategies to Maximize Efficiency and Minimize Operational Challenges
Mounir El Khatib, Fatma Sajwani, Ahmed Al-Nakeeb
ABSTRACT:
Industries are being rapidly transformed by artificial intelligence (AI), which boosts productivity and makes data-driven decision-making possible. Adopting AI has advantages, but it also brings difficulties and potential disadvantages. This study aims to pinpoint the main obstacles to integrating AI and investigate ways to overcome them. Our study investigates whether AI encourages innovation and creativity or perpetuates inefficiencies. It also looks into how workflows can incorporate AI seamlessly without sacrificing efficiency or control. Reviewing relevant literature and real-world examples, this paper identifies critical business concerns and offers solutions to lessen AI barriers, enabling organizations to optimize AI’s benefits while minimizing its drawbacks. The study highlights how important management is to connecting AI with corporate processes. Effective AI integration allows companies to strategically address challenges, leveraging innovation while at the same time reducing the risks.
keywords: AI, complications, business, technology, improvement, development, IOT, system, implementation, minimize, under control