Increasing DEV Power with Augmented Coding May 31, 2023 Technological approaches and resources accelerate tasks associated with software development and maintain the quality of actions. This is Augmented Coding. Learn more
Data Copilot Know more CI&T Data Copilot CI&T Data Copilot combines enterprise metrics data with LLMs to enable business users to query, evaluate, perform multidimensional analysis, and summarize metrics through natural language conversations. This approach enhances the data usage efficiency of business personnel and data analysts, helping enterprises make digital decisions. Natural Language Driven Metric queries and analysis can be completed by asking questions in natural language. The system supports conditional filtering, sorting, multi-type chart displays, and provides intelligent recommendations and insights. Easy To Integrate Can be quickly integrated into your existing systems. Technical Features Supports private deployment.Highly customizable and extensible. Product Overview Selected Use Cases Product Features Conversational Data Analysis Empowers natural language queries to search and analyze business metrics, generating data summary reports and actionable recommendations based on context and multi-turn conversations, ensuring high accuracy in queries and analysis results. Intelligent Chart Automatically generates charts using natural language, allowing flexible switching between chart types. Supports drill-down analysis and bookmarking features to enhance interactivity and convenience in data extraction and visualization. Data Reliability Convert complex SQL into concise natural language, intelligently identifying user needs to ensure consistency between query conditions and data results. This transparent and verifiable process allows non-technical users to easily assess data logic and usability, enhancing product credibility. Multi-Channel Compatibility and Embeddability Fully responsive, enabling seamless integration with internal and external enterprise applications for multi-channel use. Knowledge Base Allows LLMs to learn and apply industry-specific and company-specific knowledge and terminology for enhanced query results. Accuracy and Security 01 Intention Recognition Utilizes the power of LLMs to precisely interpret user queries in natural language and align them with business data, ensuring accurate responses to all inquiries. 02 Metric-based Query Standardizes semantics in business metrics before generating SQL, preventing instability caused by direct conversion from natural language to SQL. 03 Natural Language Conversion Transforms complex SQL queries into easy-to-understand natural language. Users can validate query conditions and aggregation criteria, ensuring data consistency and confirming the correctness of data extraction logic. 04 Manually Adjustable Provides a structured explanation of query content, enabling users to manually adjust query parameters for more controlled and accurate results. 05 Security Standards Implements a security detection mechanism between the application and LLMs to prevent data breaches and address issues such as AI-generated hallucinations... Related Solutions Jan 19, 2022 Data Hub Framework Enterprise Data Foundation Apr 13, 2022 Digital Experience Platform Nov 09, 2023 Enterprise Gen AI Framework Get in touch with us to learn about Data Copilot case studies.