THE FUTURE OF ENTERPRISE AUTOMATION: AI AS A TRANSFORMATIVE FORCE
Keywords:
Enterprise Automation, Artificial Intelligence, Machine Learning, Digital Transformation, Cognitive ComputingAbstract
This research article examines the transformative impact of artificial intelligence on enterprise automation across various industries. The article investigates how AI-powered solutions are revolutionizing traditional business operations, from manufacturing and customer service to financial services and healthcare. It analyzes the current state of enterprise automation, exploring the transition from conventional rule-based systems to intelligent automation frameworks. The article also discusses key technologies driving this transformation, including machine learning, deep learning, natural language processing, and cognitive automation. Furthermore, it examines implementation challenges, technical infrastructure requirements, data quality considerations, and skills development needs. The article concludes by exploring future trends and opportunities in hyper automation, edge computing, IoT integration, and autonomous systems development, providing insights into the evolving landscape of enterprise auto
References
Anita Banerjee et al., "The Transformative Power of AI: Projected Impacts on the Global Economy by 2030," ResearchGate Publication, September 2023. [Online]. Available: https://www.researchgate.net/publication/373749082_The_Transformative_Power_of_AI_Projected_Impacts_on_the_Global_Economy_by_2030
Yuanzu Zhan et al., "The impact of artificial intelligence adoption for business-to-business marketing on shareholder reaction: A social actor perspective," International Journal of Information Management, vol. 75, June 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0268401224000161
Yogesh K Dwiwedi et al., "Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions," Technological Forecasting and Social Change, vol. 198, July 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0040162523002640
Mariam Yusuf, "Comparative Analysis of Traditional vs. AI-Driven Customer Engagement Approaches," ResearchGate Publication, March 2024. [Online]. Available: https://www.researchgate.net/publication/386451832_Comparative_Analysis_of_Traditional_vs_AI-Driven_Customer_Engagement_Approaches
A G Amiri et al., "Artificial Intelligence and Technological Evolution: A Comprehensive Analysis of Modern Challenges and Future Opportunities," ResearchGate Publication, January 2024. [Online]. Available: https://www.researchgate.net/publication/383658749_Artificial_Intelligence_and_Technological_Evolution_A_Comprehensive_Analysis_of_Modern_Challenges_and_Future_Opportunities
Taqwa Hariguna et al., "Assessing the impact of artificial intelligence on customer performance: a quantitative study using partial least squares methodology," International Journal of Artificial Intelligence, vol. 15, no. 1, September 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2666764924000018
Liang Li, "Analysis on the Application of Artificial Intelligence in Cross-Border E-commerce," ResearchGate Publication, January 2021. [Online]. Available: https://www.researchgate.net/publication/348839072_Analysis_on_the_Application_of_Artificial_Intelligence_in_Cross-Border_E-commerce
Ignat Kulkov, "The role of artificial intelligence in business transformation: A case of pharmaceutical companies," Technology in Society, vol. 66, August 2021. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0160791X21001044
Umar Mir et al., "Critical success factors for integrating artificial intelligence and robotics," ResearchGate Publication, August 2020. [Online]. Available: https://www.researchgate.net/publication/343611334_Critical_success_factors_for_integrating_artificial_intelligence_and_robotics
Aizhan Tursunbayeva et al., "Adoption of artificial intelligence: A TOP framework-based checklist for digital leaders," Business Horizons Volume 67, Issue 4, 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S000768132400051X
Abid Haleem et al., "Hyperautomation and Edge Computing: Implementation Analysis and Future Directions," August 2024. Sensors International Volume 2 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2666351121000450
Ragubir Singh,et al., "Edge AI: A survey," Machine Learning with Applications, vol. 11, 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2667345223000196
