Aloudata Agent introduces a novel NL→MQL→SQL framework that combines large language models with a custom metric query language, enabling business users to perform end‑to‑end intelligent data analysis, attribution, and reporting without technical expertise, while balancing accuracy, cost, and performance.
This article details Cainiao Group’s ChatBI platform, describing its business background, construction scenarios, AI‑driven logistics use cases, underlying data architecture, DSL‑based query engine, and governance mechanisms, while also sharing a brief Q&A with the product director.
This article explores the evolution of business intelligence toward intelligent BI, detailing traditional BI limitations, agile BI improvements, and how StarRocks' MPP lakehouse engine combined with large language models enables natural‑language analytics, real‑time performance, AI‑driven insights, and scalable enterprise deployments.
This article presents the Tencent PCG OlaChat team's research and practice in intelligent data analysis, covering the DIKW model, evolution of BI platforms, the impact of large language models, challenges of third‑generation data products, detailed product features, agent architecture, system design, and related academic publications.
This article details Tencent's shift from traditional BI to an AI‑driven intelligent BI platform, describing the challenges of architecture, large‑language‑model integration, and data integration, and presenting the OlaChat framework, unified orchestration, atomic agents, DSL conversion, monitoring, and future roadmap.
From the 19th‑century origins of Business Intelligence through BI 1.0’s data warehouses, BI 2.0’s self‑service dashboards, and today’s emerging BI 2.5 intelligent era, Sugar BI’s DI predictive module offers low‑code, AI‑driven chart recommendations, automatic analysis, voice interaction, and customizable machine‑learning models for non‑technical business users.
