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Data Agent

43 articles · Page 1 of 1
DataFunTalk
DataFunTalk
Sep 1, 2026 · Big Data

From Three Months to Two Weeks: DataWorks Data Agent Revamps Xinfēi Technology’s Multi‑Country Data‑Warehouse Delivery

Xinfēi Technology, a fintech data‑intelligence provider, cut its multi‑country data‑warehouse rollout from three months to about two weeks by adopting Alibaba Cloud’s DataWorks Data Agent, which unified data ingestion, task development, quality configuration, lineage analysis and release verification, introduced Skills and an enterprise semantic layer, and achieved up to six‑fold efficiency gains across ODS, DWD, DWS, DQC and reporting.

Data AgentDataWorksEnterprise Semantic Layer
0 likes · 10 min read
From Three Months to Two Weeks: DataWorks Data Agent Revamps Xinfēi Technology’s Multi‑Country Data‑Warehouse Delivery
Data Integration and Governance
Data Integration and Governance
Aug 31, 2026 · Big Data

Data Agent Architecture: 7 Layers to Connect Enterprise Data Beyond Text-to-SQL

This article argues that enterprise Data Agents require a seven-layer data architecture—source, preparation, object, semantic, permission, execution, and verification—rather than simply connecting databases to LLMs, detailing how each layer resolves ambiguity, ensures stability, enforces security, and enables trustworthy analytical reasoning.

AI AnalyticsBusiness IntelligenceData Agent
0 likes · 18 min read
Data Agent Architecture: 7 Layers to Connect Enterprise Data Beyond Text-to-SQL
DataFunSummit
DataFunSummit
Aug 21, 2026 · Cloud Computing

Why Google Is Extending the Semantic Layer with Business Relationships for Agents

The article analyzes how Google Cloud’s new BigQuery Graph with Measures expands the traditional semantic layer—adding explicit business entities and relationships—to enable agents to trace why metrics change, illustrated with retail case studies, Graph‑Measure integration, and Knowledge Catalog enhancements.

BigQueryData AgentGoogle Cloud
0 likes · 11 min read
Why Google Is Extending the Semantic Layer with Business Relationships for Agents
DataFunTalk
DataFunTalk
Aug 19, 2026 · Cloud Computing

Semantic Layer Evolves: Google Embeds Relationships into Agent Context

The article explains how the traditional Semantic Layer, which focused on unifying metric definitions, is expanding in the Agent era to include business entities and relationships by integrating Google BigQuery Graph with Measures, enabling agents to trace why metrics change as well as what they are.

BigQueryData AgentGoogle Cloud
0 likes · 13 min read
Semantic Layer Evolves: Google Embeds Relationships into Agent Context
Data Integration and Governance
Data Integration and Governance
Aug 17, 2026 · Artificial Intelligence

How Data Agents Access Enterprise Data: 4 Solution Paths (DB, API, Warehouse, Knowledge Base)

The article breaks down four ways a Data Agent can reach enterprise data—direct database connections, business APIs, data‑warehouse layers, and knowledge‑base/RAG—detailing their strengths, limitations, and how combining them with stable integration pipelines enables reliable AI‑driven analytics and actions.

API integrationArtificial IntelligenceData Agent
0 likes · 20 min read
How Data Agents Access Enterprise Data: 4 Solution Paths (DB, API, Warehouse, Knowledge Base)
Data Integration and Governance
Data Integration and Governance
Aug 13, 2026 · Artificial Intelligence

Why Traditional Wide-Table Data Warehousing Won’t Suffice in the Data Agent Era

The article argues that while wide tables remain useful for fixed, high‑frequency analyses, the rise of Data Agents requires data warehouses to go beyond simple tables and provide business semantics, unified metrics, context, and governance so AI can understand and answer complex business questions accurately.

AI AnalyticsData Agentbusiness semantics
0 likes · 18 min read
Why Traditional Wide-Table Data Warehousing Won’t Suffice in the Data Agent Era
DataFunTalk
DataFunTalk
Aug 7, 2026 · Artificial Intelligence

Why Data Agents Shouldn't Write SQL Directly – They Need a Business Compiler Layer

Enterprise Data Agents face a fundamental shift from merely generating syntactically correct SQL to reliably interpreting business semantics, prompting a new architecture that inserts a semantic layer and a deterministic compiler to produce verifiable, governance‑ready queries.

Business CompilerData AgentEnterprise AI
0 likes · 21 min read
Why Data Agents Shouldn't Write SQL Directly – They Need a Business Compiler Layer
Architect Practice
Architect Practice
Aug 1, 2026 · Industry Insights

Why Enterprise Data Intelligence Must Evolve from Text‑to‑SQL to Data Agents

The article traces four generations of enterprise data intelligence—from BI dashboards to Text‑to‑SQL and finally Data Agents—explaining why successful deployment depends on five engineering disciplines (Context, Knowledge, Skill, Memory, Evaluation Loop) rather than the underlying LLM model.

Data AgentEnterprise Data IntelligenceEvaluation Loop
0 likes · 18 min read
Why Enterprise Data Intelligence Must Evolve from Text‑to‑SQL to Data Agents
DataFunTalk
DataFunTalk
Jul 18, 2026 · Industry Insights

Why Data Agent Stalls at 70% and Hits 95% Only With a Semantic Layer

The Data for AI Beijing meetup revealed that Data Agents plateau at about 70% accuracy without a well‑defined semantic (context) layer, but can reach the 95% production threshold once that layer is built, highlighting a shift from engine‑centric to metadata‑centric architectures, six‑round convergence practices, and large‑scale metadata deployments.

AI infrastructureData AgentGravitino
0 likes · 23 min read
Why Data Agent Stalls at 70% and Hits 95% Only With a Semantic Layer
Big Data Technology & Architecture
Big Data Technology & Architecture
Jul 8, 2026 · Artificial Intelligence

Key Evaluation Criteria for Data‑Driven AI Agents

The article outlines a practical framework for assessing data‑centric AI agents, highlighting challenges such as nondeterminism, black‑box behavior, and error amplification, and proposes concrete dimensions—result correctness, semantic consistency, query quality, security, and explainability—to ensure zero‑tolerance accuracy and reproducibility.

AIData AgentData Quality
0 likes · 7 min read
Key Evaluation Criteria for Data‑Driven AI Agents
DataFunTalk
DataFunTalk
Jul 6, 2026 · Artificial Intelligence

How to Overcome Metric Definitions, Real‑Time Data, Knowledge, and Permission Challenges in Enterprise Data Agents

The talk presents a three‑layer architecture for enterprise Data Agents, explains how StarRocks‑based AI‑native real‑time data foundations, Semantic View, and context layers work together, and outlines practical checks and feedback loops to address metric, permission, latency, and governance bottlenecks.

AI Native Data PlatformData AgentEnterprise AI
0 likes · 8 min read
How to Overcome Metric Definitions, Real‑Time Data, Knowledge, and Permission Challenges in Enterprise Data Agents
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jun 29, 2026 · Big Data

How DataWorks Data Agent Evolved Across Three Stages and Its Cloud‑Native Engineering Practices

The article systematically outlines DataWorks Data Agent’s progression from a Copilot‑assisted tool to human‑AI collaboration and finally AI‑driven autonomy, details its four‑agent product matrix covering data development, operations diagnostics, autonomous governance and ChatBI, describes three architecture iterations (Dify, AgentScope, QwenCode/OpenClaw) and a cloud‑managed deployment, and cites real‑world efficiency gains such as cutting development cycles from hours to minutes.

AI agentData AgentDataWorks
0 likes · 15 min read
How DataWorks Data Agent Evolved Across Three Stages and Its Cloud‑Native Engineering Practices
DataFunSummit
DataFunSummit
Jun 28, 2026 · Big Data

How Cainiao Uses DataWorks Data Agent to Deploy AI-Powered SuperETL

Cainiao combines a decade of logistics data-warehouse experience with Alibaba Cloud’s DataWorks Data Agent to build the SuperETL intelligent system, which orchestrates nine fine-grained skills, enforces safety hooks, and boosts data-development efficiency by 2-3× while achieving over 80% AI automation in key scenarios.

AICainiaoData Agent
0 likes · 12 min read
How Cainiao Uses DataWorks Data Agent to Deploy AI-Powered SuperETL
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jun 25, 2026 · Big Data

Taobao Live’s Shift from ETL to Managed Development with DataWorks Data Agent

The article details how Taobao Live’s data engineering team replaced traditional ETL bottlenecks with a three‑layer, AI‑native architecture built on DataWorks Data Agent, using NL2DSL2SQL, ontology‑driven knowledge bases, and multi‑agent collaboration to achieve near‑100% code generation and higher accuracy.

AI-nativeData AgentDataWorks
0 likes · 10 min read
Taobao Live’s Shift from ETL to Managed Development with DataWorks Data Agent
DataFunSummit
DataFunSummit
Jun 25, 2026 · Big Data

Evolution and Engineering Practices of DataWorks Data Agent

The article systematically outlines DataWorks Data Agent’s three‑stage evolution—from Copilot assistance to human‑AI collaboration and finally AI‑driven autonomy—details its four‑agent product matrix covering the full data lifecycle, describes the cloud‑managed engineering rollout, and presents a Taobao flash‑sale case where development cycles shrank from hours to minutes, highlighting efficiency gains, security measures, and architectural iterations.

AI agentCloud ManagedData Agent
0 likes · 13 min read
Evolution and Engineering Practices of DataWorks Data Agent
DataFunTalk
DataFunTalk
Jun 25, 2026 · Big Data

From Writing SQL to Speaking Requirements: Practical Guide to DataWorks Data Agent

This article walks through using DataWorks Data Agent to automate end‑to‑end data‑warehouse development—from preparing source tables and a structured requirement document, uploading it, crafting task commands, selecting execution modes and models, to the agent generating SQL, building workflows, publishing them, and producing a final report—all without writing SQL manually.

AI automationData AgentDataWorks
0 likes · 16 min read
From Writing SQL to Speaking Requirements: Practical Guide to DataWorks Data Agent
DataFunTalk
DataFunTalk
Jun 13, 2026 · Artificial Intelligence

How Anthropic Achieves 95% Accuracy in 95% of Data Agent Scenarios

Anthropic’s analysis of Claude‑powered Data Agents shows that reliable self‑service analytics depend on precise context resolution, rigorous verification, and strong data governance rather than simply generating SQL, with skills raising accuracy from under 21% to over 95% across most use cases.

AI GovernanceAnthropicClaude
0 likes · 13 min read
How Anthropic Achieves 95% Accuracy in 95% of Data Agent Scenarios
DataFunTalk
DataFunTalk
Jun 12, 2026 · Industry Insights

Why Are True Benchmark Cases for Data Agents Still Rare After Years of Hype?

The article analyzes the surge of interest in Agentic Analytics and Data Agents, explains how market focus has shifted from speed to accuracy and real‑world value, and outlines the concrete criteria that a genuine enterprise‑grade data‑analysis agent benchmark must satisfy.

Agentic AnalyticsBenchmark CasesData Agent
0 likes · 9 min read
Why Are True Benchmark Cases for Data Agents Still Rare After Years of Hype?
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 4, 2026 · Artificial Intelligence

How Data Agents Transform Data Querying: Semantic Layer Integration and Decision‑Making (Part 1)

This article details the engineering journey of building enterprise‑grade Data Agents, covering the semantic‑layer integration that resolves NL‑to‑SQL inconsistencies, the skill‑based architecture that enables query, attribution, forecasting and cash‑flow actions, and the final multiplication formula that defines success in deep‑water AI‑driven decision making.

AI agentData AgentDecision Automation
0 likes · 22 min read
How Data Agents Transform Data Querying: Semantic Layer Integration and Decision‑Making (Part 1)
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
May 28, 2026 · Artificial Intelligence

From Assisted to Autonomous: How DataWorks Data Agent Revolutionizes Data Intelligence

DataWorks Data Agent advances from an assisted, code‑completion tool to a fully autonomous data‑intelligent agent, using a dual‑engine CLI/Claw architecture, unified runtime, open Skill ecosystem, and CPU‑GPU co‑optimization to automatically understand requirements, explore data, generate code, execute tasks, and deliver end‑to‑end results for developers and operators.

AICLIData Agent
0 likes · 10 min read
From Assisted to Autonomous: How DataWorks Data Agent Revolutionizes Data Intelligence
DataFunSummit
DataFunSummit
May 28, 2026 · Artificial Intelligence

How DataWorks Data Agent Advances from Augmented Assistance to Full Autonomy

The article analyzes DataWorks Data Agent’s evolution from a helper‑style tool to an autonomous data‑centric AI agent, detailing its five‑stage roadmap, dual‑engine CLI/Claw architecture, unified runtime kernel, open skill ecosystem, and CPU‑GPU joint optimization for enterprise‑grade data automation.

AIAgent ArchitectureData Agent
0 likes · 12 min read
How DataWorks Data Agent Advances from Augmented Assistance to Full Autonomy
DataFunTalk
DataFunTalk
May 27, 2026 · Industry Insights

Data Agent Tipping Point in 6‑12 Months? Xiaomi, Alibaba Cloud & Datastrato Discuss

The round‑table examines how Data Agent is moving from proof‑of‑concept to production, outlines its three‑stage evolution from NL2SQL to a general AI‑driven agent, highlights verification and semantic‑gap challenges, and presents expert views that the scaling tipping point could arrive within the next six to twelve months.

AIApache GravitinoData Agent
0 likes · 10 min read
Data Agent Tipping Point in 6‑12 Months? Xiaomi, Alibaba Cloud & Datastrato Discuss
Big Data Tech Team
Big Data Tech Team
May 25, 2026 · Artificial Intelligence

Mastering Data Agent: A Complete End‑to‑End Guide from Basics to Pro

This article breaks down the concept of a Data Agent that automates the entire traditional data‑analysis pipeline, explains its three‑layer architecture, the ReAct reasoning loop, multi‑agent collaboration, six practical use cases, and offers deployment recommendations for teams looking to adopt AI‑driven data workflows.

AIBIData Agent
0 likes · 18 min read
Mastering Data Agent: A Complete End‑to‑End Guide from Basics to Pro
DataFunSummit
DataFunSummit
May 9, 2026 · Artificial Intelligence

DeepEye: Building an Autonomous, Human‑Steerable Data Agent System

The article presents DeepEye, an open‑source autonomous data‑agent platform that combines LLM reasoning, workflow orchestration, and human‑in‑the‑loop control to enable end‑to‑end analysis of heterogeneous data, and introduces a six‑level capability taxonomy to guide its evolution from manual to fully autonomous operation.

Data AgentDeepEyeLLM
0 likes · 18 min read
DeepEye: Building an Autonomous, Human‑Steerable Data Agent System
ITPUB
ITPUB
Apr 27, 2026 · Industry Insights

From Seeing to Doing: How Data Agent Enables a Closed‑Loop Data Value Chain

The article analyzes how Data Agent, an AI‑native data‑governance platform, transforms traditional reporting‑centric workflows into actionable, automated decision loops by integrating trustworthy data, intelligent analysis, and staged automation, while outlining practical implementation steps and potential pitfalls for enterprises.

AI GovernanceData AgentData Automation
0 likes · 11 min read
From Seeing to Doing: How Data Agent Enables a Closed‑Loop Data Value Chain
Amazon Cloud Developers
Amazon Cloud Developers
Apr 22, 2026 · Artificial Intelligence

Building a Multi‑Expert Data Agent with OpenClaw: From Single‑Agent Answers to Collaborative Analysis

As data volumes grow, enterprises struggle to locate and interpret information quickly, so this article proposes a Data Agent built on OpenClaw that uses Amazon Bedrock and Snowflake experts to autonomously explore data, collaborate across domains, and deliver insights from a simple natural‑language query.

AIAmazon BedrockData Agent
0 likes · 11 min read
Building a Multi‑Expert Data Agent with OpenClaw: From Single‑Agent Answers to Collaborative Analysis
DataFunTalk
DataFunTalk
Apr 19, 2026 · Industry Insights

From ChatBI to DataAgent: Turning AI Demos into Trusted Enterprise Decision Engines

The live discussion breaks down the practical challenges of building enterprise‑grade Data Agents—from unified semantic layers and prompt engineering versus model fine‑tuning, to table discovery, multi‑turn memory, trust, cost control, and continuous improvement—showing why real‑world AI success hinges on system reliability rather than raw model power.

AIData AgentEnterprise AI
0 likes · 17 min read
From ChatBI to DataAgent: Turning AI Demos into Trusted Enterprise Decision Engines
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 17, 2026 · Industry Insights

Why Data Agents Are the Next AI Frontier in Enterprise Analytics

The article examines the rise of Data Agents—AI-powered assistants that shift data analysis from manual SQL queries to autonomous, multi‑step reasoning—by outlining their technical evolution, current market players, core architectural components, and future trends shaping enterprise analytics through semantic layers and multi‑agent collaboration.

AIData AgentMulti-agent
0 likes · 16 min read
Why Data Agents Are the Next AI Frontier in Enterprise Analytics
DataFunTalk
DataFunTalk
Apr 15, 2026 · Industry Insights

From ChatBI to DataAgent: How Enterprise AI Moves from Demo to Trusted Production

A live discussion with data platform leaders reveals that the real challenge of AI‑driven data agents lies not in model strength but in building a stable, explainable semantic layer, managing prompt versus fine‑tuning trade‑offs, ensuring trustworthy multi‑turn conversations, and aligning cost with business value for production deployment.

Cost ManagementData AgentEnterprise AI
0 likes · 18 min read
From ChatBI to DataAgent: How Enterprise AI Moves from Demo to Trusted Production
ByteDance Data Platform
ByteDance Data Platform
Jan 15, 2026 · Artificial Intelligence

Why Model Evaluation Can Be Cool: Innovative Automated Testing for Data‑Driven LLM Agents

In the era of rapidly advancing large‑model technology, the article outlines the challenges of evaluating data‑centric LLM agents, proposes a three‑layer evaluation framework covering basic capabilities, component‑level checks, and end‑to‑end business impact, and shares practical innovations such as semantic‑equivalence SQL matching, agent‑as‑judge pipelines, and a unified assessment platform.

Agent-as-JudgeData AgentLLM evaluation
0 likes · 22 min read
Why Model Evaluation Can Be Cool: Innovative Automated Testing for Data‑Driven LLM Agents
AI Tech Publishing
AI Tech Publishing
Nov 5, 2025 · Artificial Intelligence

Why AI Agents Should Be Positioned as Assistants, Not Replacements

The article explains that marketing AI agents as human replacements leads to poor performance, professional resistance, and hallucination risks, and argues that repositioning them as assistants with human‑in‑the‑loop verification improves efficiency and acceptance.

AI agentBI EngineerData Agent
0 likes · 3 min read
Why AI Agents Should Be Positioned as Assistants, Not Replacements
ByteDance Data Platform
ByteDance Data Platform
Sep 24, 2025 · Artificial Intelligence

Why Data Agents Are the Next AI Frontier: Insights from Volcano Engine’s Journey

In this talk, Volcano Engine’s technical expert Chen Shuo explains the evolution of the Data Agent platform, the four‑quadrant framework for AI‑driven analytics, real‑world deployment challenges, architectural upgrades from pipeline to intelligent scheduling, and key lessons for building reliable, enterprise‑grade AI agents.

AIAgent ArchitectureData Agent
0 likes · 17 min read
Why Data Agents Are the Next AI Frontier: Insights from Volcano Engine’s Journey
ByteDance Data Platform
ByteDance Data Platform
Jun 18, 2025 · Artificial Intelligence

How Imperfect AI Can Unlock the Hidden 80% of Enterprise Data

Enterprises face a sharp paradox: despite exploding data volumes, only about 20% of structured data is used while the remaining 80% of unstructured data stays frozen, and this talk explores how Data Agent‑powered imperfect AI can awaken that hidden value.

AIData AgentData Analysis
0 likes · 16 min read
How Imperfect AI Can Unlock the Hidden 80% of Enterprise Data
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 9, 2025 · Artificial Intelligence

Overview of Data Agents: Definitions, Applications, and Recent Developments by Google, Alibaba Cloud, and ByteDance

This article introduces the concept of AI-powered Data Agents, outlines their key features and use cases across enterprise analytics, data governance, and intelligent customer service, and reviews recent implementations from Google, Alibaba Cloud, and ByteDance, highlighting their impact on modern data-driven workflows.

Artificial IntelligenceData AgentData Analysis
0 likes · 8 min read
Overview of Data Agents: Definitions, Applications, and Recent Developments by Google, Alibaba Cloud, and ByteDance