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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
May 3, 2026 · Databases

ScopeDB: Real-Time Data Analytics Solution for the Cloud‑Native Era

ScopeDB introduces a cloud‑native, real‑time analytics database that combines structured core columns with a flexible JSON column, adaptive indexing, a custom query language (ScopeQL), and true compute‑storage separation, delivering sub‑second query latency, high throughput, and up to 70% cost reduction compared with traditional big‑data stacks.

Cloud NativeDatabaseScopeDB
0 likes · 14 min read
ScopeDB: Real-Time Data Analytics Solution for the Cloud‑Native Era
DataFunSummit
DataFunSummit
May 3, 2026 · Artificial Intelligence

From Flawed to Production-Ready: Deep Dive into Building Enterprise-Grade RAG Systems

The article analyzes why early RAG deployments often fall short, dissects the most common technical pain points—from document parsing to vector overload—and presents a systematic roadmap that includes hybrid search, reranking, GraphRAG, Agentic RAG, model selection, scalability tricks, and security controls for robust B‑side production.

Agentic RAGGraphRAGHybrid Search
0 likes · 20 min read
From Flawed to Production-Ready: Deep Dive into Building Enterprise-Grade RAG Systems
DataFunSummit
DataFunSummit
May 2, 2026 · Cloud Native

GooseFS + Lance: Accelerating Vector Storage for the AI Era

The article explains how GooseFS integrates with the Lance vector format to overcome the IO bottlenecks of object storage, detailing native acceleration mechanisms such as namespace catalog services, event‑driven warm caching, automatic compaction, native transactions, and page‑level caching that together deliver up to three‑fold performance gains for AI workloads.

AICache AccelerationCloud Native
0 likes · 12 min read
GooseFS + Lance: Accelerating Vector Storage for the AI Era
DataFunSummit
DataFunSummit
May 2, 2026 · Artificial Intelligence

How Palantir’s 4‑Layer Ontology Architecture Enables Buildings, Tenants, and Data to ‘Talk’

Healthpeak transformed its commercial‑real‑estate operations by replacing fragmented spreadsheets with Palantir’s AI Platform (AIP), using a four‑layer architecture and ontology‑driven modeling to automate billing, detect anomalies, and orchestrate workflows, dramatically cutting manual effort, errors, and scaling costs.

AI Workflow AutomationCommercial Real EstateOntology Modeling
0 likes · 18 min read
How Palantir’s 4‑Layer Ontology Architecture Enables Buildings, Tenants, and Data to ‘Talk’
DataFunSummit
DataFunSummit
May 1, 2026 · Artificial Intelligence

When to Use ChatGPT vs Codex: Exploring the New Era of AI Agents

This article explains how to choose between ChatGPT, Claude, Claude Code, and Codex, detailing Codex's seven core capabilities—including local file access, persistent memory, plugins, skills, image generation, computer control, automation, and the Chronicle screen‑monitoring feature—through concrete examples and step‑by‑step walkthroughs.

AI AgentsCodexOpenAI
0 likes · 14 min read
When to Use ChatGPT vs Codex: Exploring the New Era of AI Agents
DataFunSummit
DataFunSummit
May 1, 2026 · Artificial Intelligence

How Agentic Architectures Power the Next‑Gen Recommendation and Search Systems

This article summarizes a technical ebook that analyzes the evolution of recommendation and search systems—from deep‑learning models to large‑language‑model agents—detailing multi‑agent RAG architectures, Huawei’s KAR knowledge adapters, Baidu’s generative ranking (GRAB), Elasticsearch vector search, and performance results such as a 1.5% AUC lift and GPU‑accelerated throughput gains.

ElasticsearchGenerative RankingMulti-Agent Architecture
0 likes · 6 min read
How Agentic Architectures Power the Next‑Gen Recommendation and Search Systems
DataFunSummit
DataFunSummit
May 1, 2026 · Artificial Intelligence

From “Lobster” to Ontology: Unveiling the Next Wave of Self‑Evolving AI Agents and Data Governance

The DACon conference in Shanghai gathered over 8,000 developers, managers and experts, delivering 50 talks that explored self‑evolving AI agents, data‑centric ontology, Agent‑Ready big‑data infrastructure, AI‑AR ecosystem evolution, and the emerging challenges of Agentic data governance.

AI AgentsAI+ARAgentic Data Protocol
0 likes · 11 min read
From “Lobster” to Ontology: Unveiling the Next Wave of Self‑Evolving AI Agents and Data Governance
DataFunSummit
DataFunSummit
Apr 30, 2026 · Industry Insights

Why Palantir’s Edge Isn’t Unique – Chinese Enterprises Can Replicate Its Methodology

A panel of industry experts dissected Palantir’s rapid growth, revealing that its advantage lies in a systematic ontology‑driven methodology rather than exclusive technology, and argued that Chinese firms can adopt the same approach if they first resolve data governance, semantic consistency, and management challenges.

AI AgentsCapability vs CompetencyPalantir
0 likes · 26 min read
Why Palantir’s Edge Isn’t Unique – Chinese Enterprises Can Replicate Its Methodology
DataFunSummit
DataFunSummit
Apr 30, 2026 · Artificial Intelligence

Unpacking MemOS: How AI Agents Overcome the “Memory Pain” and Boost Cloud Calls by 200%

The article analyses why memory is the critical bottleneck for AI agents, compares model‑driven and application‑driven memory approaches, details MemOS’s five‑layer architecture and three‑layer coordination, and shows how its cloud service achieved 100‑200% monthly growth while reducing token usage and improving LLM response quality.

AI agentCloud ServicesMemOS
0 likes · 16 min read
Unpacking MemOS: How AI Agents Overcome the “Memory Pain” and Boost Cloud Calls by 200%
DataFunSummit
DataFunSummit
Apr 29, 2026 · Industry Insights

Beyond the Data Rear‑view Mirror: Palantir’s Strategic Value and Real‑World Cases

Palantir leverages its Ontology‑driven data integration and AI platforms—Gotham, Foundry, and AIP—to transform fragmented data into actionable intelligence, delivering decision‑making advantages in government, aerospace, food, and energy sectors, while shifting from custom‑heavy services to an open, platform‑based ecosystem.

AI AgentsAI PlatformFoundry
0 likes · 11 min read
Beyond the Data Rear‑view Mirror: Palantir’s Strategic Value and Real‑World Cases