What is SwiftAgent 2.0
SwiftAgent 2.0 is an AI analytics product launched by Shushi Technology. Based on large models and AI Agent technology, it helps enterprises achieve a paradigm shift in data analysis and decision-making. The product builds a unified semantic layer of metrics and labels to address issues such as inconsistent data definitions and the high threshold for data use, enabling the transformation from data analysis to intelligent decision-making. SwiftAgent 2.0 supports access to multi-source heterogeneous data and features a data computation acceleration engine, providing a real-time human-computer interaction experience, allowing enterprise managers and business personnel to easily conduct data analysis, lowering the threshold for data analysis, and improving decision-making efficiency.
Feature highlights of SwiftAgent 2.0
- Unified semantic layer construction: Based on Natural Language to Metrics+Label to SQL technology, it enables two-stage data insights, helping to understand business semantics and unify data definitions.
- User intervention: It provides a natural interaction method, guiding users to choose or rephrase questions to obtain accurate data analysis results, and performs reinforcement learning based on user feedback.
- Continuous reflective learning: It deposits user Q&A analysis into the knowledge base and, combined with reinforcement learning, continuously optimizes the analysis process, making the product better fit business needs.
- Multi-source data linking: It supports access to multiple data sources, including data warehouses, text, Excel, images, audio and video, etc., meeting comprehensive analysis needs.
- Data computation acceleration engine: Based on proprietary technology, it achieves second-level data queries, provides a real-time human-computer interaction experience, and supports large wide table queries and cross-model associative queries.
How to use SwiftAgent 2.0
- Registration and login: Visit Shushi Technology'sofficial website, register an account, and log in to the SwiftAgent 2.0 system.
- Data access: Users use the interfaces provided by the platform to connect various data sources (such as data warehouses, Excel files, text, images, etc.) to SwiftAgent 2.0. The system automatically identifies and processes the data.
- Build the semantic layer: Based on SwiftAgent 2.0's unified semantic layer feature, users define metrics and labels to ensure consistency in data definitions. This helps with subsequent data analysis.
- Initiate a query: Users input query requests in natural language, for example, "recent sales situation". The system provides relevant options for users to choose from, or guides users to ask more precise questions.
- Get analysis results: Based on the user's query, SwiftAgent 2.0 quickly generates a data analysis report, providing visual charts and insights to help users understand the data.
Application scenarios of SwiftAgent 2.0
- Business decision support: It provides real-time data analysis for enterprises, helping management make data-based decisions.
- Sales forecasting: It analyzes historical sales data, predicts future sales trends, and optimizes inventory and supply chain management.
- Customer insights: Based on analyzing customer behavior and preferences, it provides personalized recommendations and improves customer satisfaction.
- Market trend analysis: It monitors market dynamics, analyzes consumer trends, and provides data support for market strategies.
- Financial reporting and budget planning: It automates financial report generation and assists with budget planning and cost control.