THE FUTURE OF UNIFIED COMMUNICATIONS: AI-DRIVEN ENHANCEMENTS

Authors

  • Naga Praneeth Yerram Informatica, USA. Author

Keywords:

Artificial Intelligence-Enhanced Unified Communications, Intelligent Call Routing Systems, Speech Recognition, Transcription Technologies, Enterprise Communication Automation

Abstract

This research article examines the transformative impact of Artificial Intelligence (AI) integration within Unified Communications (UC) systems, focusing on emerging technologies, implementation strategies, and organizational outcomes. The article comprehensively analyzes AI-driven enhancements in enterprise communications, particularly examining intelligent call routing systems, real-time speech recognition, and transcription technologies. Through extensive research and analysis of enterprise implementations, this article demonstrates how AI-powered UC systems significantly improve operational efficiency, customer satisfaction, and regulatory compliance. The article reveals that organizations implementing these systems experience substantial benefits, including a 40% reduction in response times, a 60% improvement in customer satisfaction metrics, and a 35% enhancement in first-contact resolution rates. Key findings highlight the critical role of structured implementation methodologies, robust security frameworks, and comprehensive change management strategies in successful AI-UC deployments. The article also explores future trajectories and emerging applications, providing valuable insights into the evolution of enterprise communications technology.

This article contributes to the growing body of knowledge on AI integration in business communications, offering practical recommendations for organizations seeking to leverage these technologies while addressing implementation challenges and maintaining security and compliance requirements.

References

Shakhovska, N., Fedushko, S., Greguš, ml., M., Melnykova, N., Shvorob, I., & Syerov, Y. (2019). "Development of Mobile System for Medical Recommendations." Procedia Computer Science, 155, 43-50. https://doi.org/10.1016/j.procs.2019.08.010

Cisco Annual Internet Report (2018-2023) White Paper. Cisco Systems, Inc. https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html

Ghosh, Timam, et al. "AI-based communication-as-a-service for network management in society 5.0." IEEE Transactions on Network and Service Management 18.4 (2021): 4030-4041. https://ieeexplore.ieee.org/abstract/document/9569743

Google Cloud. "Speech-to-Text: Advanced Models for Enterprise Transcription." (2023). https://cloud.google.com/speech-to-text/docs/basics

Amazon Web Services. "Amazon Transcribe - Accuracy and Performance Benchmarks." (2023). https://aws.amazon.com/transcribe/features/

IBM Cloud Docs. "IBM Watson Speech to Text" (2023). https://www.ibm.com/cloud/watson-speech-to-text/security

Ultatel. "How AI is Transforming Enterprise Business Communication." (2023). https://blog.ultatel.com/role-of-ai-in-enterprise-communications

McKinsey Digital. "AI in Enterprise Communications and Collaboration Market Soar to USD 130.3 Bn by 2033“ https://scoop.market.us/ai-in-enterprise-communications-and-collaboration-market-news/

Market.us, LinkedIn, “AI in Enterprise Communications and Collaboration Market: Streamlining Business Communication with Smart Technology” https://www.linkedin.com/pulse/ai-enterprise-communications-collaboration-market-streamlining-pndac/

Downloads

Published

2024-11-20

How to Cite

Naga Praneeth Yerram. (2024). THE FUTURE OF UNIFIED COMMUNICATIONS: AI-DRIVEN ENHANCEMENTS. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY (IJCET), 15(6), 512-521. https://mylib.in/index.php/IJCET/article/view/IJCET_15_06_043