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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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DataFunSummit

Sep 17, 2026 · Industry Insights

Palantir's True Moat: The Agent Engineering Stack for Trusted Enterprise Decisions

Palantir's 2026 product updates reveal its competitive advantage lies not in models or ontology alone, but in a complete engineering system—global branching, permission debugging, and MCP integration—that lets AI agents safely execute real business actions while maintaining governance, shifting enterprise AI budgets from model procurement to decision-process reconstruction.

AI AgentsAIPAgent Engineering

0 likes · 21 min read

Palantir's True Moat: The Agent Engineering Stack for Trusted Enterprise Decisions

DataFunSummit

Sep 16, 2026 · Industry Insights

Palantir's Moat: The Engineering System That Lets AI Agents Safely Run Business

Palantir's 2026 updates reveal its true competitive advantage: not just Ontology or AIP, but a complete engineering system—including Global Branching, permission debugging, and MCP integration—that lets AI agents safely execute real business actions while maintaining audit trails and governance, shifting enterprise AI budgets from model procurement to decision-process reconstruction.

AI AgentsAIPDecision Layer

0 likes · 20 min read

Palantir's Moat: The Engineering System That Lets AI Agents Safely Run Business

DataFunSummit

Sep 16, 2026 · Industry Insights

OpenAI's Data Agent: Why Semantic Layers Are Now Essential Infrastructure

OpenAI's Data Agent integrates with enterprise data stacks like Snowflake and BI tools rather than replacing them, revealing that AI agents require governed business context—metric definitions, semantic models, permissions—to deliver accurate analysis, making semantic layers critical infrastructure for AI-driven analytics.

AI analyticsBI ToolsBusiness Context

0 likes · 18 min read

OpenAI's Data Agent: Why Semantic Layers Are Now Essential Infrastructure

DataFunSummit

Sep 11, 2026 · Industry Insights

Palantir's 85% Growth: Why Ontology Beats RAG as AI's Real Moat

Palantir achieves 85% revenue growth by building a business ontology layer that integrates enterprise data semantics, enabling reliable AI decisions in high-stakes environments, unlike fragile RAG or wrapper approaches that fail when models commoditize.

AI StrategyBusiness Semantic LayerEnterprise AI

0 likes · 12 min read

Palantir's 85% Growth: Why Ontology Beats RAG as AI's Real Moat

DataFunSummit

Sep 11, 2026 · Artificial Intelligence

Graph Engineering Restructures Agent Systems: From Harness to Ontology

This article reviews a 2026 paper on Graph Engineering for LLM agents, detailing the shift from individual agent intelligence to system intelligence via explicit task DAGs, runtime state management with checkpoints and replay, multi-agent coordination through capability modeling, and ontology engineering for shared semantics.

Agent CoordinationDAG SchedulingGraph Engineering

0 likes · 20 min read

Graph Engineering Restructures Agent Systems: From Harness to Ontology

DataFunSummit

Sep 9, 2026 · Artificial Intelligence

Databricks Genie Ontology: Mining Business Context from SQL and Usage Patterns

Databricks Genie Ontology combines governed Unity Catalog semantics with automatically inferred context from SQL queries, dashboards, and agent interactions, using authority scoring to resolve conflicting business definitions so AI agents know which Revenue, Active User, or Qualified Lead definition the organization currently trusts.

AI AgentAuthority ScoringContext Mining

0 likes · 14 min read

Databricks Genie Ontology: Mining Business Context from SQL and Usage Patterns

DataFunSummit

Sep 8, 2026 · Industry Insights

Google's BigQuery Graph: Semantic Layers Evolve to Business Relationships for Agents

Google's BigQuery Graph with Measures integrates governed metrics with property graphs to give AI agents both accurate calculations and traversable business relationships, enabling root-cause analysis beyond simple metric queries, with zero-ETL mapping from existing tables and Looker integration.

AI AgentsBigQueryBusiness Relationships

0 likes · 14 min read

Google's BigQuery Graph: Semantic Layers Evolve to Business Relationships for Agents

DataFunSummit

Sep 7, 2026 · Artificial Intelligence

Knora 4.2: AI-FDE Loop Automates Ontology Engineering for Enterprise AI Agents

Knora 4.2 introduces an AI-driven Forward Deployment Engineering (AI-FDE) loop that automates ontology construction, knowledge extraction, skill building, and agent execution, demonstrating 87.5% faster defect investigation and 72% less repetitive analysis across five enterprise scenarios including production quality, operations tracing, and cost management.

AI AgentsAI-FDEEnterprise AI

0 likes · 17 min read

Knora 4.2: AI-FDE Loop Automates Ontology Engineering for Enterprise AI Agents

DataFunSummit

Sep 5, 2026 · Industry Insights

Palantir CEO: In AI Era, Domain-Specific AI Infrastructure Is the Only Moat

Palantir CEO Alex Karp argues that AI-era competition splits enterprises into those with domain-specific AI-enhanced infrastructure and those without, warning that generic AI adoption creates no competitive advantage while specialization of proprietary knowledge builds unbeatable moats.

AI StrategyAIPConAlex Karp

0 likes · 12 min read

Palantir CEO: In AI Era, Domain-Specific AI Infrastructure Is the Only Moat

DataFunSummit

Sep 4, 2026 · Artificial Intelligence

Ontology-Driven Knowledge Engineering: Building Trustworthy Enterprise AI Agents Beyond RAG

This article details an ontology-driven three-layer architecture for enterprise office agents, replacing standard RAG with GraphRAG to achieve verifiable, auditable AI. It covers a six-step modeling method, a six-dimensional evaluation system, a two-week MVO rollout, and three production scenarios — document review, meeting minutes, and document structuring — showing how semantic assets become the true competitive moat.

Evaluation MetricsGraphRAGKnowledge Governance

0 likes · 37 min read

Ontology-Driven Knowledge Engineering: Building Trustworthy Enterprise AI Agents Beyond RAG