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Semantic Layer

32 articles · Page 1 of 1
DataFunSummit
DataFunSummit
Jul 4, 2026 · Industry Insights

How a Modern Data Platform Is Redefining the Future of Insurance

The article details how Ping An Property & Casualty transformed its legacy siloed data architecture into a systematic Kunpeng Intelligent Platform, built three core pillars—Agent platform, OSI semantic layer, and AI tools—boosted ChatBI accuracy, evaluated OpenClaw’s limits, and delivered end‑to‑end AI across marketing, underwriting, claims, agriculture, and forecasting.

AIBig DataData Platform
0 likes · 12 min read
How a Modern Data Platform Is Redefining the Future of Insurance
DataFunSummit
DataFunSummit
Jul 1, 2026 · Artificial Intelligence

Ontologies: The Semantic Operating System for Large‑Model AI

While the industry has spent the last two years chasing ever larger language models, enterprises actually lack a unified, computable and evolvable semantic structure, and ontologies—re‑imagined as a semantic operating system—provide the necessary backbone for reliable, business‑aware AI deployment.

Enterprise AIKnowledge EngineeringOntology
0 likes · 16 min read
Ontologies: The Semantic Operating System for Large‑Model AI
21CTO
21CTO
Jun 22, 2026 · Artificial Intelligence

Why Claude Handles 95% of Anthropic’s Internal Analysis Queries

Anthropic reports that Claude now processes roughly 95% of its internal analysis requests with about 95% accuracy, attributing this success to rigorous data governance, semantic definitions, and operational standards rather than to larger model capabilities.

AI analyticsAnthropicBusiness Intelligence
0 likes · 5 min read
Why Claude Handles 95% of Anthropic’s Internal Analysis Queries
DataFunSummit
DataFunSummit
Jun 20, 2026 · Big Data

Building an Agentic Analytics Platform for the Gaming Industry with SelectDB

The article analyzes the fourfold challenges of game‑industry data analysis—high timeliness, massive concurrency, heterogeneous sources, and petabyte‑scale volumes—and explains how SelectDB’s evolution to an AI‑Ready, Agentic platform with MCP and a semantic layer addresses these issues through real‑time OLAP, multimodal processing, and autonomous decision loops.

AI-ReadyAgentic AIBig Data
0 likes · 16 min read
Building an Agentic Analytics Platform for the Gaming Industry with SelectDB
DataFunSummit
DataFunSummit
Jun 11, 2026 · Big Data

How MaxCompute Enables Multimodal Storage and Hybrid Computing for Powerful Digital Agents

The article details MaxCompute's three‑stage approach—production‑ready Agent access via MCP and Skill, a business‑oriented semantic layer, and multimodal Blob storage with hybrid compute—culminating in a CPU‑only home‑design demo that showcases end‑to‑end Agent workflows, security controls, and mobile integration.

BLOBDigital AgentHybrid Computing
0 likes · 11 min read
How MaxCompute Enables Multimodal Storage and Hybrid Computing for Powerful Digital Agents
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 5, 2026 · Artificial Intelligence

From Skill to Ontology: Building a Trustworthy Data Agent Semantic Layer

The article analyzes why expanding the Skill system with an ontology‑based semantic layer is essential for Data Agents, comparing metric‑centric and ontology‑centric approaches, outlining technical evolution from NL2SQL to NL2LF2SQL, and proposing a step‑by‑step implementation roadmap for enterprises.

AIData AgentData Infrastructure
0 likes · 16 min read
From Skill to Ontology: Building a Trustworthy Data Agent Semantic Layer
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 AgentData Governance
0 likes · 22 min read
How Data Agents Transform Data Querying: Semantic Layer Integration and Decision‑Making (Part 1)
AI Large Model Application Practice
AI Large Model Application Practice
Jun 4, 2026 · Artificial Intelligence

How Ontology Empowers Enterprise Agents Beyond Reasoning: Building a Semantic Infrastructure

The article explores three advanced ontology applications for enterprise AI agents—multi‑relationship propagation, schema‑mapping to decouple column names, and a unified semantic query engine—showing how a business‑semantic layer can replace hard‑coded logic while highlighting implementation challenges and practical start‑up advice.

Enterprise AIKnowledge GraphOntology
0 likes · 12 min read
How Ontology Empowers Enterprise Agents Beyond Reasoning: Building a Semantic Infrastructure
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
Yunqi AI+
Yunqi AI+
May 26, 2026 · Artificial Intelligence

How AI‑Native Products Bring Software Closer to the Business Frontline

The article analyzes how AI‑native products reshape traditional software by processing unstructured data with LLMs, adding a semantic layer that understands, calls, outputs, and learns from business context, thereby turning rapid business changes into traceable, reusable system capabilities.

AI-nativeLLMSemantic Layer
0 likes · 18 min read
How AI‑Native Products Bring Software Closer to the Business Frontline
AntData
AntData
May 26, 2026 · Industry Insights

From ChatBI to Business Memory: Redefining Data Intelligence’s Productivity

The article examines how ChatBI is evolving beyond simple natural‑language SQL generation toward a collaborative, context‑aware system that integrates a semantic layer and business memory, enabling trustworthy analysis, plan‑mode workflows, and continuous learning, ultimately redefining the productivity boundaries of data intelligence.

AIBusiness MemoryChatBI
0 likes · 47 min read
From ChatBI to Business Memory: Redefining Data Intelligence’s Productivity
DataFunSummit
DataFunSummit
May 24, 2026 · Industry Insights

Why AI Agents Are Redefining Data Infrastructure Governance

The rise of AI agents as data consumers forces a fundamental shift in data infrastructure design, requiring unified metadata control, a robust semantic layer, and a governed agent access framework to replace traditional human‑centric RBAC models and ensure secure, auditable operations.

AI agentsAgentic Data ProtocolApache Gravitino
0 likes · 18 min read
Why AI Agents Are Redefining Data Infrastructure Governance
AI Architecture Hub
AI Architecture Hub
Apr 28, 2026 · Product Management

Designing Products for AI Agents: Lessons from Salesforce Headless 360

The article examines how AI agents are becoming primary callers of software, outlines the shift from human‑centric UI design to agent‑readable actions, and details Salesforce Headless 360's multi‑mode invocation, semantic layer, lifecycle governance, scenario adaptation, and a five‑step roadmap for building agent‑friendly products.

AI AgentHeadless ArchitectureLifecycle Governance
0 likes · 15 min read
Designing Products for AI Agents: Lessons from Salesforce Headless 360
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 24, 2026 · Artificial Intelligence

How to Build a Truly Usable AI‑Powered Natural Language Query System from Scratch

The article analyzes why natural‑language database queries often fail, outlines four technical routes, presents a five‑layer architecture with a business‑semantic middle layer, shares engineering best practices, a real‑world case study, and a product comparison to guide data companies in designing an effective intelligent query system.

AIData GovernanceLarge Language Model
0 likes · 16 min read
How to Build a Truly Usable AI‑Powered Natural Language Query System from Scratch
Architect's Ambition
Architect's Ambition
Apr 22, 2026 · Artificial Intelligence

From Natural Language to Executable SQL: Building an AI‑Powered SQL Generation Engine

The article explains why directly letting large language models generate SQL leads to poor accuracy, and presents a production‑grade engine that combines a semantic knowledge layer, RAG‑enhanced NL‑to‑DSL conversion, and a deterministic DSL‑to‑SQL translator to achieve 85‑90% correctness in real‑world deployments.

DSL2SQLLarge Language ModelNL2DSL
0 likes · 13 min read
From Natural Language to Executable SQL: Building an AI‑Powered SQL Generation Engine
DataFunTalk
DataFunTalk
Apr 21, 2026 · Industry Insights

How AI Agents Are Redefining Data Governance: 5 Key Shifts and 3 Strategic Solutions

In the AI era, data consumption moves from a few technical users to all business staff, forcing a fundamental redesign of data governance across five dimensions—resource consumption, frequency, semantics, knowledge base, and modality—and proposing three actionable strategies to make data semantically rich, fully multimodal, and AI‑consumable.

AIData GovernanceEnterprise Analytics
0 likes · 18 min read
How AI Agents Are Redefining Data Governance: 5 Key Shifts and 3 Strategic Solutions
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 AgentData Governance
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 AgentNL2SQL
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.

Data AgentEnterprise AISemantic Layer
0 likes · 18 min read
From ChatBI to DataAgent: How Enterprise AI Moves from Demo to Trusted Production
DataFunTalk
DataFunTalk
Apr 11, 2026 · Industry Insights

Why Most Intelligent Data Analytics Fail and How Aloudata’s Agent Architecture Solves It

This article examines three common misconceptions in enterprise intelligent data analysis, explains how a semantic metric layer can break data silos, and details Aloudata Agent’s dual‑path engine, multi‑agent collaboration, and product design that together deliver trustworthy, deep, and democratized analytics for modern businesses.

AIAttribution AnalysisBig Data
0 likes · 18 min read
Why Most Intelligent Data Analytics Fail and How Aloudata’s Agent Architecture Solves It
dbaplus Community
dbaplus Community
Mar 22, 2026 · Industry Insights

Will Data Engineers Vanish by 2030? A Bold Forecast for the Future of Data Stacks

The article predicts that by 2030 the traditional data‑engineer role and modern data‑stack components will collapse into a few unified, HTAP‑capable databases, semantic layers, and AI agents, reshaping pipelines, warehouses, and even edge computing while urging engineers to pivot toward semantic modeling and AI orchestration.

AIData EngineeringDatabases
0 likes · 19 min read
Will Data Engineers Vanish by 2030? A Bold Forecast for the Future of Data Stacks
Past Memory Big Data
Past Memory Big Data
Dec 4, 2025 · Artificial Intelligence

Text2SQL Showdown: Which Technical Path Delivers Higher Accuracy and Lower Cost?

The article analyzes two contrasting Text2SQL architectures—LLM + RAG + DSL versus rule‑driven NLQ—examining their accuracy under controlled conditions, implementation costs, complex query support, and real‑world suitability for enterprise BI, and concludes which approach is more reliable and cost‑effective.

AI+RulesBusiness IntelligenceLLM
0 likes · 16 min read
Text2SQL Showdown: Which Technical Path Delivers Higher Accuracy and Lower Cost?
DataFunSummit
DataFunSummit
Nov 18, 2024 · Artificial Intelligence

Intelligent Data Analysis: Agent Architecture Combined with Semantic Layer for Product Implementation

This article explores how large‑model technologies can address data analysis challenges by introducing an Agent‑based architecture integrated with a semantic layer, detailing design principles, optimization paths, technical implementation, real‑world retail case studies, product design considerations, and future directions for intelligent analytics.

AIBusiness IntelligenceSemantic Layer
0 likes · 22 min read
Intelligent Data Analysis: Agent Architecture Combined with Semantic Layer for Product Implementation
DataFunSummit
DataFunSummit
Aug 15, 2024 · Artificial Intelligence

Building an LLM‑Driven Metric Platform for Data Democratization

This article explains how large language models (LLMs) can launch data democratization by constructing a metric platform that combines LLM agents, semantic layers, NL2SQL/NL2API pipelines, warehouse‑internal and external semantics, and showcases SwiftAgent/SwiftMetrics innovations, real‑world case studies, and future directions.

Big DataData DemocratizationLLM
0 likes · 13 min read
Building an LLM‑Driven Metric Platform for Data Democratization
DataFunTalk
DataFunTalk
Jul 1, 2024 · Big Data

JD Retail Metric Middle Platform: Architecture, Semantic Layer, Production, Governance and Practical Cases

This article presents JD Retail’s metric middle‑platform practice, describing the background problems of legacy metric systems, the four‑step solution framework, the overall architecture, semantic‑layer construction with the 4W1H method, configurable metric production, acceleration techniques, governance mechanisms, achieved results and future plans.

GovernanceMetricsSemantic Layer
0 likes · 19 min read
JD Retail Metric Middle Platform: Architecture, Semantic Layer, Production, Governance and Practical Cases
DataFunSummit
DataFunSummit
Jan 24, 2024 · Big Data

Trends, Challenges, and Technical Practices of Modern Data Analysis and Indicator Platforms

This article reviews the evolution of data analysis and business intelligence, highlights current trends such as precision, agility, and real‑time needs, discusses common challenges, and presents the design and implementation of a unified semantic layer and indicator platform to enable agile, accurate, and real‑time analytics.

Big DataMetrics PlatformSemantic Layer
0 likes · 14 min read
Trends, Challenges, and Technical Practices of Modern Data Analysis and Indicator Platforms
DataFunTalk
DataFunTalk
Sep 6, 2023 · Databases

Large Model + OLAP: Enabling a New Data Service Platform

This article details how Tencent Music combines large language models with an Apache Doris‑based OLAP engine, introduces a semantic layer, manual‑experience routing, schema mapping and plugin integration, and outlines the evolution of its data architecture through four versions to achieve real‑time, cost‑effective, and scalable intelligent data services.

Apache DorisData WarehouseLarge Language Model
0 likes · 24 min read
Large Model + OLAP: Enabling a New Data Service Platform
DeWu Technology
DeWu Technology
May 22, 2021 · Big Data

Unified Semantic Layer for Data Development: Addressing Pain Points and Optimizing Queries

A unified semantic layer for data development solves metric‑change ripple effects, developer burden, and large‑scale query performance problems by offering consistent metric definitions, multi‑view access, concise auto‑generated SQL, instant propagation of updates, and engine‑driven optimal query selection, thereby bridging business and engineering and cutting maintenance effort.

Big DataData EngineeringOLAP
0 likes · 5 min read
Unified Semantic Layer for Data Development: Addressing Pain Points and Optimizing Queries