Voice-Based AI Assistants for Corporate Productivity

  • Authors

    • Dr. Rajesh Kumar Sharma Author

    DOI:

    https://doi.org/10.67228/30713315/IJAIDT-2023PII0F6B

    Published 11-04-2023

  • Voice-Based AI Assistant, Corporate Productivity, Speech Recognition, Natural Language Processing, Intelligent Automation, Enterprise Systems, Human–Computer Interaction

    Issue

    Vol. 6 No. 2 (2023)

    Section

    Articles

    How to Cite

    [1]
    R. K. Sharma, “Voice-Based AI Assistants for Corporate Productivity”, IJAIDT, vol. 6, no. 2, pp. 01–15, Nov. 2023, doi: 10.67228/30713315/IJAIDT-2023PII0F6B.

  • Abstract

    Artificial Intelligence (AI) voice-driven assistants have quickly moved away being consumer-friendly to being an enterprise-based application with the capability to help with corporate productivity, knowledge management, and operational efficiency. These systems can take up complex organizational tasks including scheduling, document retrieval, meeting summarization, and decision support, by the incorporation of the speech recognition, natural language understanding, and intelligent automation. The current paper examines how voice-based AI assistants can play a role in corporate settings, how they are based on technology, how they are designed, how they are implemented, and how they can influence productivity results. A detailed literature review is performed to investigate the current studies on enterprise AI assistants, speech human-computer interaction, and productivity-enhancing computerized systems. The suggested methodology provides a modular system design with automatic speech recognition (ASR), natural language processing (NLP), task coordination, and opportunities of enterprise incorporation. System efficiency is analyzed by performance measures like completion rate of tasks, latency of response, and user satisfaction. Findings show that voice interfaces can save a lot of time and mental workload than the conventional keyboards. In addition, the discussion identifies some of the problem areas associated with privacy, accuracy, and understanding of the context, the importance of having strong security structures and domain adaptation. The results show that voice-assisted AI assistants can be considered a viable technological opportunity to transform the corporate workflow digitally by facilitating the work with hands free, accessing knowledge in real time, and enhancing its efficiency. This research allows offering a systematic model of applying enterprise voice assistants and relates the perspectives of future research in speech-inspired organizational intelligence.

  • References

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