Artificial intelligence has gradually become deeply integrated into our daily lives, and one influential technology in this realm is the Large Language Model (LLM). The recent popularity of ChatGPT is an application of this technology.

Emotion analysis, also known as sentiment analysis, is a data analysis technique applied to various data types such as text, speech, and images. It encompasses Natural Language Processing (NLP), statistical techniques, and machine learning.

WFO (Workforce Optimization) is typically applied in customer service and call centers. Its main objective is to ensure that an organization's workforce is utilized to its maximum potential at the right time, optimizing human resources and improving overall team quality and efficiency. WFM (Workforce Management) focuses on efficient scheduling and managing the workforce, ensuring that each employee works in the right place at the right time. As the industry evolves, Gartner believes that a people-centric approach to workforce handling is essential, recognizing that optimizing workforce engagement cannot be as effective as it used to be if treated merely as a machine-like optimization process. Therefore, Gartner has transitioned the evaluation category from WFO (Workforce Optimization) to WEM (Workforce Engagement Management).

The voice of each individual is unique and cannot be completely imitated. In the sound of speech, there is rich information including the content of the speech, identity, emotions, age, and more. Each person's speech exhibits differences in audio, source, intonation, and features. Therefore, voiceprints, like fingerprints, possess uniqueness and individuality. Voiceprint recognition is one of the biometric identification methods that utilizes the "speech signals" emitted by individuals. By processing the signals through algorithms and advanced computations, a secure identification method is generated. Voiceprint recognition has the following characteristics: High acceptance: Speech acquisition is convenient and natural, and voiceprints can be extracted without awareness. Low identification cost: It is simple to use, and voiceprints can be captured during communication using common devices. Suitable for remote identity verification: It can be implemented through networks, enabling remote authentication. Low complexity in voiceprint identification and verification: By registering real-time or pre-recorded audio files and performing simple calculations, the audio files can be recognized.

Definition of Cloud Computing: Various types of terminal devices can provide users (individuals or organizations) with shared software/hardware computing resources (servers, databases, customer service systems, CRM, analytical reports, artificial intelligence, etc.) through the internet (cloud). Cloud computing is usually based on virtualization technology and provides resources and services quickly according to the customer's needs (charging based on usage). This is different from the current mainstream on-premise solutions in Taiwan: all computing resources and related service equipment are self-responsible, with certain distinctions. Of course, depending on the nature or scale of different projects, Nanxun will recommend suitable solutions tailored to the situation. However, the following provides a rough distinction between cloud solutions and on-premise solutions.

OCR, or Optical Character Recognition, is a technology that has been around for nearly a century and is the foundation of various practical applications we encounter in our daily lives. You might have heard of handheld scanners, experienced license plate recognition in parking lots, or even been amazed by identity document recognition. Optical Character Recognition is the process of converting images or scanned files into text data. In today's era of information explosion, traditional paper-based processing is no longer sufficient, making OCR an essential component of digital transformation for both businesses and public sectors.