Search
Free Trial

Hongke's latest articles

HongKe

[Domo.AI]: A new solution based on intelligent decision-making

Description. HOSCODomo, as a platform integrated with advanced AI technology, provides enterprise users with an intelligent data solution that is flexible, secure and full of business value. ThroughHOSCODomo.AI, users can not only conduct chatty data exploration, but also easily manage and deploy AI models to accelerate the data-driven decision-making process.

 

In today's age of information explosion, data has become one of the most valuable assets of enterprises. However, data itself does not generate value; only when it is properly analyzed and utilized can it be transformed into a source of corporate competitiveness.HOSCODomo, as a platform integrated with advanced AI technology, provides enterprise users with an intelligent data solution that is flexible, secure and full of business value. ThroughHOSCODomo.AI, users can not only conduct chatty data exploration, but also easily manage and deploy AI models to accelerate the data-driven decision-making process.

1、Chat Exploration, Intelligent Guidance

HONGKE DOMO.AIfurnishWith natural language dialogues, users can easily query, analyze and visualize data without writing complicated codes. This user-centered design greatly lowers the threshold of data exploration, making it easy for non-technical staff to get started.HONGKE DOMO.AI's AI Chat feature goes even further than simple natural language queries, as it understands context, predicts user needs, and provides intelligent suggestions to keep users ahead of the curve at all times.

2、Automated reporting, simple and efficient

In terms of data analysis and report generation, theHONGKE DOMOAI also performs well. It can automatically compress lengthy information into concise summaries to help users quickly understand the content, greatly reducing manual intervention and error rates.

In addition.HONGKE DOMOThe automatic report generation tool can generate the required reports based on the user's own data, as well as the user's requirements. The process usually takes only 1-2 minutes, which greatly enhances the user's efficiency in producing reports. Users can also edit, modify and optimize the generated reports to maximize their satisfaction.

3、Generalized large model, a hundred questions and answers

In terms of data privacy and security.HONGKE DOMO.AI is equally relentless. It offers innovative applications such as ResponsibleGPT, which provides a more secure environment for sensitive information and ensures that data never leaves theHONGKE DOMOEcosystem. At the same time, ResponsibleGPT remembers previous interactions so that users can build on them, enabling continuous conversations and more contextualized help.

4、Text to SQL, construction calculations

HONGKE DOMOThe Text-to-SQL tool simplifies the process of field/indicator computation by allowing users to simply enter natural language descriptions of data query requirements.HONGKE DOMOThe text is intelligently parsed and automatically converted into corresponding SQL query statements. And the auxiliary constructed calculation field function, theHONGKE DOMOIt is another favorable tool. The user can create new calculation fields according to the business requirements, describe the requirements through natural language.HONGKE DOMOIntelligent recognition helps the user to write functions, and the user can apply new calculation fields to the chart visualization.

5, flexible management model, efficient deployment

In the context of AI model management.HONGKE DOMO.AI demonstrates great flexibility and convenience. It supports model management in a serverless environment, allowing users to easily integrate their models with existing machine learning infrastructure or point to other API services. Enterprises can continuously improve model performance through constant tracking and monitoring. This flexibility not only lowers the model deployment threshold, but also greatly improves the efficiency of model application.

In the context of AI model management.HONGKE DOMO.AI demonstrates great flexibility and convenience. It supports model management in a serverless environment, allowing users to easily integrate their models with existing machine learning infrastructure or point to other API services. Enterprises can continuously improve model performance through constant tracking and monitoring. This flexibility not only lowers the model deployment threshold, but also greatly improves the efficiency of model application.

Other Articles

可配置的CAN FD模擬I/O模塊 功能概述： PCAN-MicroMod FD系列模塊是支持CAN FD的數采模塊。 PCAN-MicroMod FD 插入式板卡可以和即插即用的母板一起購買，母板提供了各種外設可滿足特定需要。對於CAN連接、I/O、和供電，可用彈簧端子連接器。 PCAN-MicroMod FD 數字版1和2著重於數字輸入和輸出，其上有相應的保護電路。數字1的數字輸出裝備了低邊開關，數字2的裝備了高邊開關。
Hongke Dry Goods

[Hongke Solutions] Can’t Read CAN Data? Not Enough Temperature Channels? A Comprehensive Guide to Integrating NVH and Battery Data Acquisition

Is your current NVH data logger unable to read the CAN bus? Are there not enough temperature channels for battery testing? Hongke offers the PCAN-MicroMod FD and MU-Thermocouple1 CAN FD modules to enable CAN(FD)-to-analog conversion and high-density thermocouple multi-module cascading expansion. No coding required—just unbox and use it right away, with no need to replace your existing system!

Read more
HongKeTechnology October 9, 2026
Hongke Dry Goods

[Hongke Solutions] AI Agent Implementation Case Study: Enterprise-Level Deployment Across Six Major Industries and the Logic Behind the Underlying Infrastructure

An in-depth analysis of how enterprises can transition from single LLM API calls to autonomous agentic systems. This article compiles real-world examples of AI agent deployments in production environments across six major industries, including retail and finance, and breaks down the underlying infrastructure logic—such as high concurrency, cross-interaction memory (Memory Infrastructure), and distributed state persistence.

Read more
HongKeTechnology October 7, 2026
Hongke Dry Goods

HONGKE SOLUTIONS] The Effect of Gaussian Noise on Positioning Effect in GNSS Simulation

In Global Navigation Satellite System (GNSS) radio frequency simulation testing, Gaussian white noise (AWGN) is typically regarded as the baseline configuration for replicating real-world electromagnetic environments. However, engineering practice has shown that the impact of noise on a receiver’s positioning performance does not follow a linear, monotonic relationship. Based on actual measurement data from the DST GNSS simulator, this paper analyzes the physical mechanisms of Gaussian noise in Kalman filters, correlator jitter, and phase-locked loops, and provides a scientific testing guide for configuring simulation noise.

Read more
HongKeTechnology October 5, 2026
close menu icon

Contact Hongke to help you solve your problems.

Let's have a chat