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Natural Language Query

9 articles · Page 1 of 1
Alibaba Cloud Native
Alibaba Cloud Native
Sep 8, 2026 · Cloud Native

Lemon's Intelligent Ops: 70% Alert Convergence, Minute-Level MTTR for 20K+ Retail Stores

Food retail digitalizer Lemon unified logs, metrics, and traces into a digital twin using Alibaba Cloud CloudMonitor 2.0 and STAROps with UModel, deploying unified alert governance, natural language observability, automated inspections, and AI-driven root cause analysis to achieve 70% alert convergence and minute-level MTTR across 20,000+ stores.

AIOpsAlert GovernanceAutomated Inspection
0 likes · 16 min read
Lemon's Intelligent Ops: 70% Alert Convergence, Minute-Level MTTR for 20K+ Retail Stores
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Aug 6, 2026 · Artificial Intelligence

Training‑Free Beats 14B Model: Sonar‑TS Fills Scale Gap in Time‑Series QA

The paper introduces Sonar‑TS, a training‑free neural‑symbolic system that tackles the newly defined NLQ4TSDB problem—natural‑language queries over database‑scale time‑series—by converting shape intents into searchable symbols and verifying candidates with executable code, achieving up to 3.8× higher scores than the strongest Text‑to‑SQL baseline while highlighting remaining challenges in shape understanding.

LLMNatural Language QuerySQL
0 likes · 10 min read
Training‑Free Beats 14B Model: Sonar‑TS Fills Scale Gap in Time‑Series QA
ITPUB
ITPUB
Jul 31, 2026 · Databases

How AI Enhances Data Warehouses: Automated Modeling, SQL Generation, Smart Scheduling, and NLQ

The article explains that AI will not replace data warehouses but will transform them by introducing automated modeling, AI‑generated SQL, intelligent resource scheduling, and natural‑language query interfaces, enabling business users to interact with data directly and turning warehouses into self‑optimizing, intelligent decision engines.

AIAutomated ModelingNatural Language Query
0 likes · 8 min read
How AI Enhances Data Warehouses: Automated Modeling, SQL Generation, Smart Scheduling, and NLQ
DataFunSummit
DataFunSummit
Apr 26, 2026 · Artificial Intelligence

How AI Powers an Immersive Vibe Analyzing Experience for Data Exploration

The article analyzes how AskTable uses AI agents to replace static BI dashboards with an immersive, real‑time data‑analysis canvas, enabling business users to query multiple data sources in seconds, while addressing accuracy, table‑finding, and fine‑grained permission challenges.

AIAI AgentAskTable
0 likes · 15 min read
How AI Powers an Immersive Vibe Analyzing Experience for Data Exploration
Amazon Cloud Developers
Amazon Cloud Developers
Apr 20, 2026 · Cloud Computing

Make Data Analysis as Easy as Chatting with Amazon Quick Suite

Amazon Quick Suite lets non‑technical users query enterprise data with natural language, integrating unified data access, AI‑driven analysis, and collaborative Spaces, while providing step‑by‑step guidance for connecting databases, creating datasets, dashboards, Topics, and chat‑based Q&A to accelerate data‑driven decisions.

AI AgentAWSAmazon Quick Suite
0 likes · 15 min read
Make Data Analysis as Easy as Chatting with Amazon Quick Suite
Big Data Tech Team
Big Data Tech Team
Jan 7, 2026 · Big Data

How AI Is Transforming Data Warehouses: Automation, SQL Generation, and NLQ

This article explores how artificial intelligence enhances data warehouses by automating model design, generating SQL from natural language, optimizing resource scheduling, and enabling business users to converse directly with data, while also reviewing leading tools and future cloud‑native trends.

AIAutomated ModelingNatural Language Query
0 likes · 7 min read
How AI Is Transforming Data Warehouses: Automation, SQL Generation, and NLQ
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 9, 2025 · Operations

How to Build an AI-Powered Ops Assistant with Elasticsearch for Real-Time Log Monitoring

This guide explains how to transform Elasticsearch from a simple log repository into an intelligent operations AI assistant that provides real‑time monitoring, natural‑language query, automated troubleshooting, security threat detection, and low‑code interaction, covering architecture, deployment steps, sample queries, visualization, and resource cleanup.

AI OperationsElasticSearchLog Monitoring
0 likes · 7 min read
How to Build an AI-Powered Ops Assistant with Elasticsearch for Real-Time Log Monitoring