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An Overview of Virtual Assistants and Business Intelligence Chatbots
ID：166 View Protection：ATTENDEE Updated Time：2025-12-23 13:29:28 Hits：366 Online

Start Time：2025-12-30 11:45（Asia/Amman）

Duration：10min

Session：S9 Track 5: Emerging Trends of AI/ML » S9-1Track 5: Emerging Trends of AI/ML

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Abstract
In recent years, significant advances in artificial intelligence have led to a wide-ranging transformation of organizational decision-making processes and analytical systems. Virtual assistants and AI-based chatbots have emerged as one of the most important innovations in the field of business intelligence. By integrating natural language processing, machine learning, and deep learning capabilities, these technologies enable intelligent human-machine interaction, real-time data analysis, and the generation of accurate analytical insights. Findings show that the use of business intelligence chatbots can increase the operational efficiency of organizations by up to 50 percent and improve the predictive accuracy of data analysis by 35 to 50 percent; these systems facilitate access to complex data by creating a conversational and user-friendly environment and reduce the need for expert analysts. In addition, they improve managerial and strategic decision-making by increasing the speed of analysis. Despite these advantages, important challenges such as data privacy, bias in training data, limited transparency of deep learning models, and the phenomenon of AI illusions remain.
 
Keywords
Virtual assistants,artificial intelligence,business intelligence,natural language processing,machine learning,data analytics
Speaker
Hossein Hamidizadeh
Undergraduate studen Department of Computer, Ya. C., Islamic Azad University, Yazd, Iran

Submission Author
Hossein Hamidizadeh Department of Computer, Ya. C., Islamic Azad University, Yazd, Iran
Mohamed Hafez INTI-IU-University;Shinawatra University
Mohammad Amini Department of Computer, Ya. C., Islamic Azad University, Yazd, Iran
Yousef Sharrab Isra University
Hani Attar Zarqa University
Reza Namdari khalilabad Department of Mechanical Engineering Ya. C., Islamic Azad University, Yazd, Iran
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Important Date

  • Conference Date

    Dec 29

    2025

    to

    Dec 31

    2025

  • Dec 20 2025

    Draft paper submission deadline

  • Dec 31 2025

    Contribution Submission Deadline

  • Dec 31 2025

    Registration deadline

Sponsored By
United Societies of Science
Organized By
Zarqa University
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