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[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.

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