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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
Oct 26, 2026 · Artificial Intelligence

NVIDIA's Auto Ontology Cuts Ontology Build Time 90%: Semantic Layer for Data Agents

NVIDIA open-sourced Auto Ontology, a tool that generates initial ontologies from metadata to give Data Agents reusable semantic context via MCP tools, cutting ontology creation time by 90% in vendor tests, though human certification and secure deployment remain essential for trusted, production-ready definitions.

Auto OntologyData AgentsData Governance
0 likes · 19 min read
NVIDIA's Auto Ontology Cuts Ontology Build Time 90%: Semantic Layer for Data Agents
DataFunSummit
DataFunSummit
Oct 25, 2026 · Industry Insights

Eaton's Equipment Forge: Multi-Agent Collaboration via Ontology for Complex Orders

At Palantir AIPCon 11, Eaton demonstrated Equipment Forge, a multi-agent system where specialized agents analyze engineering requirements, check bill-of-materials availability, and evaluate supplier alternatives for custom electrical equipment, all coordinated through a shared ontology that maintains context across the order lifecycle while keeping humans in the loop for critical decisions.

AIPConDigital ThreadEaton
0 likes · 28 min read
Eaton's Equipment Forge: Multi-Agent Collaboration via Ontology for Complex Orders
DataFunSummit
DataFunSummit
Oct 25, 2026 · Industry Insights

How Alibaba Taotian Achieved Sub-$0.30 Design-to-Code with Tarot Pixel

Alibaba Taotian's Tarot Pixel cuts design-to-code costs below 2 yuan by combining context engineering — exporting structured visual data from MasterGo — with a feedback loop that verifies generated code via screenshot diffs and render-tree comparisons, while a denoising pipeline reduces layer depth from 8–12 to 3–5 and a layout audit with 12 anti-patterns prevents overfitting.

AI-assisted codingAlibaba TaotianContext Engineering
0 likes · 5 min read
How Alibaba Taotian Achieved Sub-$0.30 Design-to-Code with Tarot Pixel
DataFunSummit
DataFunSummit
Oct 24, 2026 · Industry Insights

Google Extends Semantic Layers with Graph Relationships for AI Agents

Google's BigQuery Graph with Measures integrates governed metrics with graph-based business relationships, enabling AI agents to not only calculate accurate KPIs but also trace root causes across multi-hop entity relationships, moving semantic layers beyond unified metrics toward structured business context for agentic analytics.

AI AgentsBigQueryBusiness Context
0 likes · 14 min read
Google Extends Semantic Layers with Graph Relationships for AI Agents
DataFunSummit
DataFunSummit
Oct 23, 2026 · Artificial Intelligence

AWS Strands Harness: Same Model, 77% Lower Cost, Higher Accuracy

AWS open-sourced Strands Harness, a pre-assembled agent runtime that decouples the model from the harness. Benchmarks on Terminal-Bench 2.1 with Claude Fable 5 show Strands costs $56.29 and scores 69.7 versus Claude Code's $248.05 and 61.8, achieved via context management (1500-token tool-result offloading, 85% compaction), layered memory, progressive skill loading, and prompt caching.

AWSAgent RuntimeMemory Layering
0 likes · 17 min read
AWS Strands Harness: Same Model, 77% Lower Cost, Higher Accuracy
DataFunSummit
DataFunSummit
Oct 23, 2026 · Artificial Intelligence

ZTE's O-R-R-A Ontology Framework: Making Agents Understand Business Semantics

ZTE's O-R-R-A ontology framework and 璇玑 DataAgent address semantic interoperability gaps for AI agents through incremental ontology engineering and six runtime components, achieving 95% metric unification and minute-level risk identification across 10+ systems.

AI AgentsDataAgentO-R-R-A framework
0 likes · 5 min read
ZTE's O-R-R-A Ontology Framework: Making Agents Understand Business Semantics
DataFunSummit
DataFunSummit
Oct 22, 2026 · Artificial Intelligence

Graphify: Code Knowledge Graphs Without Vectors Boost Agent Accuracy 11%

Graphify builds code knowledge graphs using Tree-sitter AST parsing across 40 languages, enabling coding agents to traverse call, import, and inheritance relationships via query/path/explain commands; on a 1M-line ERPNext repo, adding Graphify raised key fact coverage from 70.8% to 82.0% with similar token cost, though limited to 6 test questions and static analysis gaps remain.

ASTERPNextGraphify
0 likes · 19 min read
Graphify: Code Knowledge Graphs Without Vectors Boost Agent Accuracy 11%
DataFunSummit
DataFunSummit
Oct 19, 2026 · Databases

Helix Foundry: Graph & SQL Unite to Auto-Build Cross-Source Enterprise Ontology

Helix Foundry open-sources a local-first workflow combining HelixDB graph database and DuckDB OLAP to automatically construct enterprise ontologies from disparate SaaS sources, using deterministic entity resolution with AI-assisted descriptions, validated via snapshot-versioned SQL pipelines and human review.

Data AgentDuckDBEntity Resolution
0 likes · 24 min read
Helix Foundry: Graph & SQL Unite to Auto-Build Cross-Source Enterprise Ontology