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DataFunSummit

Official account of the DataFun community, dedicated to sharing big data and AI industry summit news and speaker talks, with regular downloadable resource packs.

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Latest from DataFunSummit

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DataFunSummit
DataFunSummit
Sep 1, 2026 · Industry Insights

How Ant Group Scaled Apache Ossie Semantic Layer from Zero to 5,000 Metrics

The article explains why large language models struggle with business data, introduces Ant Group's semantic‑layer approach built on Apache Ossie to impose strong business constraints, compares it with other retrieval methods, and details the engineering journey that delivered a unified source of truth for over 5,000 metrics while also announcing a related conference.

AI AgentsAnt GroupApache Ossie
0 likes · 4 min read
How Ant Group Scaled Apache Ossie Semantic Layer from Zero to 5,000 Metrics
DataFunSummit
DataFunSummit
Aug 31, 2026 · Artificial Intelligence

From RAG to Ontology: How Palantir’s Business Semantic Network Drove 85% Growth and Zero Churn

The article analyzes how Palantir turned the commoditization of large‑language models into a competitive advantage by replacing shallow RAG wrappers with a deep ontology‑based semantic network, illustrating the three‑layer AI competition, high‑risk validation, and resulting 85% revenue growth with zero churn.

AI strategyEnterprise AIOntology
0 likes · 10 min read
From RAG to Ontology: How Palantir’s Business Semantic Network Drove 85% Growth and Zero Churn
DataFunSummit
DataFunSummit
Aug 30, 2026 · Artificial Intelligence

Palantir CEO Warns: Companies Without AI‑Enhanced Infrastructure Face Extinction

In his AIPCon keynote, Palantir CEO Alex Karp argues that the AI era will split firms into two camps—those with domain‑specific, AI‑enhanced infrastructure and those without—emphasizing unfair advantage through deep integration, specialized solutions over generic tools, and the necessity of measurable value creation.

AI InfrastructureAI strategyEnterprise AI
0 likes · 9 min read
Palantir CEO Warns: Companies Without AI‑Enhanced Infrastructure Face Extinction
DataFunSummit
DataFunSummit
Aug 29, 2026 · Industry Insights

Why Palantir’s Ontology and AIP Form Its Real Moat in 2026

The article analyzes Palantir’s 2026 product roadmap—highlighting Ontology, AIP Analyst, Global Branching, and Pro‑code Agent updates—to show how the company is shifting AI budgets from pure model capability to engineered decision‑process automation, and why this matters for Chinese enterprises seeking control of the decision layer.

AIP AnalystAgent EngineeringChinese Market
0 likes · 16 min read
Why Palantir’s Ontology and AIP Form Its Real Moat in 2026
DataFunSummit
DataFunSummit
Aug 29, 2026 · Artificial Intelligence

Can AI Auto‑Generate the Semantic Layer? MotherDuck Shows the Real Asset

MotherDuck’s experiment demonstrates that AI agents can automatically construct a Malloy semantic layer, yet the layer does not improve answer accuracy or token efficiency compared with plain Markdown + SQL, and the study suggests that preserving evaluative business intent may be more valuable than the semantic model itself.

AI AgentsData EvaluationMalloy
0 likes · 13 min read
Can AI Auto‑Generate the Semantic Layer? MotherDuck Shows the Real Asset
DataFunSummit
DataFunSummit
Aug 26, 2026 · Artificial Intelligence

How Palantir’s New Skills Turn Enterprise AI Into Reusable Analysis Methods

Palantir’s August 18 update to AIP Analyst introduces Skills and Analysis Lookup, adding a method‑memory layer that lets AI agents reuse analysis procedures rather than just past content, while still supporting semantic search and Ontology‑driven data operations.

AI AgentsAIP AnalystAnalysis Lookup
0 likes · 9 min read
How Palantir’s New Skills Turn Enterprise AI Into Reusable Analysis Methods
DataFunSummit
DataFunSummit
Aug 24, 2026 · Artificial Intelligence

Why Powerful AI Agents Are Becoming More Like Traditional Software

Palantir's new Agent Stack shifts AI agents from short‑lived model‑prompt loops to a production‑grade architecture that adds state, events, effects, durable execution, observability and ontology, turning agents into reliable, governable software components for real‑world business tasks.

AI AgentsOntologyPalantir
0 likes · 11 min read
Why Powerful AI Agents Are Becoming More Like Traditional Software
DataFunSummit
DataFunSummit
Aug 24, 2026 · Industry Insights

From Calculations to Context: How AWS’s Semantic Layer Powers Agents to Understand Business Data

AWS’s new Context Ontology Accelerator transforms the traditional semantic layer from merely calculating metrics into a runtime business‑context infrastructure that agents can query, combining governed metrics, ontology, and knowledge‑graph services via MCP to enable accurate, auditable, and governed AI‑driven decisions.

AWSAgentic AIContext Layer
0 likes · 11 min read
From Calculations to Context: How AWS’s Semantic Layer Powers Agents to Understand Business Data