Powered by Dingwin's multimodal large language model with AI capabilities including image recognition, text recognition, and keyword identification.
Using natural language to pre-configure fields and parameters, allowing you to build a complete AI scenario in just 30 minutes.
Continuous usage and correction feedback help improve AI accuracy and enable ongoing evolution of intelligent applications.
Tasks can push data directly to enterprise systems such as ERP or MES via API, enabling end-to-end process automation.
Field Name | Field Elements | Example Value | Summary | |
---|---|---|---|---|
≡ | Travel Date | The date when passenger used transportation, common format YYYY-MM-DD. | 2024-10-15 | No |
≡ | Train/Car Number | High-speed rail or train number, usually consisting of letters and numbers. | G123 | No |
≡ | Departure Station | The station where passenger departed from, usually a city or district name. | Taipei/Taipei | No |
≡ | Departure Time | The time when passenger departed from the starting station, format usually HH:MM. | 09:30 | No |
Field Name | Field Elements | Example Value | Summary | |
---|---|---|---|---|
≡ | No | |||
≡ | No | |||
≡ | No | |||
≡ | No |
The new AI-powered work model significantly boosts document processing efficiency by 96%.
Digiwin (DATA SYSTEMS CO.) Smart introduces the "Enterprise AI Assistant," which is based on the Aetina MegaEdge AIP-FR68 edge AI inference system. It integrates Qualcomm's on-premises AI appliance solution (comprising the Qualcomm Cloud AI 100 Ultra Accelerator and Qualcomm AI Inference Suite), delivering up to 870 TOPS of AI computing performance for generative AI workloads in air-gapped, isolated network environments.
By leveraging multimodal large language model (Multimodal LLM) inference, the system can quickly perform image recognition, information extraction, and form transcription. Enterprises only need to describe their requirements in natural language to rapidly establish AI applications for data entry, matching, and correction. This approach significantly lowers the barriers to adoption and reduces development costs.
Digiwin (DATA SYSTEMS CO.) Smart Manufacturing BGVP Yu-Kai Huang (left), Qualcomm Technologies SVP and GM of Automotive, Industrial, and IoT Business Unit Nakul Duggal (center), and Aetina International and Innodisk Corporation Chairman Chuan-Sheng Chien (right).
Rapid Deployment of Enterprise AI Assistant
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The new AI-powered work model significantly boosts document processing efficiency by 96%.
Digiwin (DATA SYSTEMS CO.) Smart introduces the "Enterprise AI Assistant," which is based on the Aetina MegaEdge AIP-FR68 edge AI inference system. It integrates Qualcomm's on-premises AI appliance solution (comprising the Qualcomm Cloud AI 100 Ultra Accelerator and Qualcomm AI Inference Suite), delivering up to 870 TOPS of AI computing performance for generative AI workloads in air-gapped, isolated network environments.
By leveraging multimodal large language model (Multimodal LLM) inference, the system can quickly perform image recognition, information extraction, and form transcription. Enterprises only need to describe their requirements in natural language to rapidly establish AI applications for data entry, matching, and correction. This approach significantly lowers the barriers to adoption and reduces development costs.
Digiwin (DATA SYSTEMS CO.) Smart Manufacturing BGVP Yu-Kai Huang (left), Qualcomm Technologies SVP and GM of Automotive, Industrial, and IoT Business Unit Nakul Duggal (center), and Aetina International and Innodisk Corporation Chairman Chuan-Sheng Chien (right).
The Enterprise AI Assistant operates on Aetina MegaEdge AI workstation, equipped with Qualcomm AI 100 accelerator card, allowing enterprises to quickly deploy without relying on cloud computing power, instantly providing a secure, stable, low-power, and low-latency AI automation environment.