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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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Recent Articles

Latest from DataFunSummit

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DataFunSummit
DataFunSummit
Aug 23, 2026 · Industry Insights

Capital Backs Semantic Layers: Graphwise Secures Funding as AI Agents Build New Infrastructure

The article examines how Graphwise’s recent acquisition by Oakley Capital signals a shift of the semantic layer from a BI‑focused metric unifier to a core enterprise AI infrastructure that powers AI agents with business‑level knowledge graphs, detailing the technology stack, market traction, and strategic implications.

AI agentEnterprise AIGraphwise
0 likes · 7 min read
Capital Backs Semantic Layers: Graphwise Secures Funding as AI Agents Build New Infrastructure
DataFunSummit
DataFunSummit
Aug 22, 2026 · Artificial Intelligence

Why OpenAI, Claude, Google, and DeepSeek All Bet on the Same Harness Layer

The article analyzes how OpenAI, Anthropic (Claude), Google, and DeepSeek are converging on a shared "harness" layer that separates model capabilities from execution, detailing each company's implementation, the trade‑offs of complexity, and the emerging competition focused on model‑harness co‑optimization.

AI AgentsClaudeDeepSeek
0 likes · 13 min read
Why OpenAI, Claude, Google, and DeepSeek All Bet on the Same Harness Layer
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
DataFunSummit
DataFunSummit
Aug 21, 2026 · Artificial Intelligence

Turning Search into Action: How Elasticsearch Agent Builder Makes Data Come Alive

The article analyzes how AI applications evolve from answering questions to executing tasks, outlines the data, context, and execution challenges, and explains how Elasticsearch Agent Builder integrates searchable data, tool capabilities, and governance into a verifiable execution chain, illustrated with a log‑analysis case study.

AI AgentsData GovernanceElasticSearch
0 likes · 12 min read
Turning Search into Action: How Elasticsearch Agent Builder Makes Data Come Alive
DataFunSummit
DataFunSummit
Aug 20, 2026 · Artificial Intelligence

Why Investors Are Backing Semantic Layers: Graphwise’s Funding Signals a New AI Agent Infrastructure

The article analyzes Oakley Capital’s acquisition of a majority stake in Graphwise, explains how the company’s semantic layer technology is evolving from unified business metrics to a foundational AI agent infrastructure, and outlines the technical components and market implications of this shift.

AI AgentsEnterprise AIGraphwise
0 likes · 7 min read
Why Investors Are Backing Semantic Layers: Graphwise’s Funding Signals a New AI Agent Infrastructure
DataFunSummit
DataFunSummit
Aug 18, 2026 · Artificial Intelligence

How Agentic Architectures Power Next‑Gen Recommendation and Search Systems

The article analyzes cutting‑edge agentic RAG designs, LLM‑enhanced recommendation pipelines, and generative ranking models from Alibaba Cloud, Huawei Noah, and Baidu, detailing their architectures, multi‑modal retrieval strategies, GPU acceleration, and measured performance gains.

Agentic RAGAlibaba CloudBaidu
0 likes · 6 min read
How Agentic Architectures Power Next‑Gen Recommendation and Search Systems
DataFunSummit
DataFunSummit
Aug 17, 2026 · Industry Insights

How Palantir Turns Ontology into Code: The Rise of “Ontology‑as‑Code” in Enterprise AI

Palantir’s new SuperRepo embeds Ontology definitions, TypeScript‑declared objects, Functions and React applications into a single monorepo, enabling versioned, testable, and deployable business models that let AI agents operate within a governed enterprise runtime, though the feature is still in beta with notable limitations.

AgentEnterprise AIFoundry
0 likes · 16 min read
How Palantir Turns Ontology into Code: The Rise of “Ontology‑as‑Code” in Enterprise AI
DataFunSummit
DataFunSummit
Aug 17, 2026 · Industry Insights

AI Era Data Infrastructure: From Storing Data to Enabling Agent‑Driven Context

The article analyzes how the rise of AI agents transforms data platforms from simple storage and query engines into AI‑native systems that provide trustworthy, real‑time context for autonomous decision‑making, outlining the three‑layer evolution of storage, compute, and application and the architectural upgrades required for modern data lakes.

AIAgentBig Data
0 likes · 13 min read
AI Era Data Infrastructure: From Storing Data to Enabling Agent‑Driven Context
DataFunSummit
DataFunSummit
Aug 16, 2026 · Artificial Intelligence

How Multi‑Agent Architectures Power the Next Generation of Recommendation and Search Systems

The article reviews cutting‑edge AI search and recommendation techniques—including Agentic RAG, multi‑modal retrieval, GPU‑accelerated indexing, and Baidu’s generative ranking model GRAB—detailing their architectures, optimization strategies, and measured performance gains such as a 1.5% AUC lift.

AI SearchAgentic RAGGPU acceleration
0 likes · 6 min read
How Multi‑Agent Architectures Power the Next Generation of Recommendation and Search Systems