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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
Jun 27, 2026 · Industry Insights

Why Palantir’s Ontology Outperforms Traditional Data Platforms for Decision‑Making

The article examines costly data‑platform failures, contrasts traditional data‑middle‑platforms with Palantir’s ontology‑driven decision system, showcases real‑world ROI examples, and breaks down the three‑layer semantic‑dynamics‑decision architecture that turns data into actionable business outcomes.

Business IntelligenceDecision SystemEnterprise Data
0 likes · 4 min read
Why Palantir’s Ontology Outperforms Traditional Data Platforms for Decision‑Making
DataFunSummit
DataFunSummit
Jun 26, 2026 · Artificial Intelligence

Loop Engineering Explained: Evolution, Six Core Components, and Control Theory

The article traces the evolution from Prompt Engineering to Context, Harness, and finally Loop Engineering, outlines its six essential components, explains how a feedback‑controlled loop works using control theory, and offers criteria for deciding when to adopt such a system.

AI AgentsAutomationControl Theory
0 likes · 18 min read
Loop Engineering Explained: Evolution, Six Core Components, and Control Theory
DataFunSummit
DataFunSummit
Jun 26, 2026 · Artificial Intelligence

Why Memory Is the Bottleneck for AI Agents and How MemOS Boosts Performance by Over 200%

The article explains how memory has become the decisive factor for AI agents, details the MemOS framework’s five‑layer architecture and three‑layer memory coordination, compares model‑driven and application‑driven approaches, and shows how MemOS‑powered cloud services achieved 100‑200% monthly growth, 45‑72% token savings, and up to 50% reduction in overall token consumption.

AI memoryMemOSOpenClaw
0 likes · 18 min read
Why Memory Is the Bottleneck for AI Agents and How MemOS Boosts Performance by Over 200%
DataFunSummit
DataFunSummit
Jun 25, 2026 · Cloud Computing

From Text to Images: Building Multi‑Modal Product Search with Elasticsearch Serverless

The article walks through the evolution of e‑commerce search from simple keyword matching to multi‑modal retrieval, explains a generic architecture that fuses text and image embeddings, details core techniques such as dense, sparse and hybrid models, vector similarity metrics, quantization methods like SQ and BBQ, and demonstrates how Elasticsearch Serverless provides a server‑less, cost‑effective platform to implement the end‑to‑end solution.

AIElasticsearchEmbedding
0 likes · 21 min read
From Text to Images: Building Multi‑Modal Product Search with Elasticsearch Serverless
DataFunSummit
DataFunSummit
Jun 25, 2026 · Big Data

Evolution and Engineering Practices of DataWorks Data Agent

The article systematically outlines DataWorks Data Agent’s three‑stage evolution—from Copilot assistance to human‑AI collaboration and finally AI‑driven autonomy—details its four‑agent product matrix covering the full data lifecycle, describes the cloud‑managed engineering rollout, and presents a Taobao flash‑sale case where development cycles shrank from hours to minutes, highlighting efficiency gains, security measures, and architectural iterations.

AI AgentCloud ManagedData Agent
0 likes · 13 min read
Evolution and Engineering Practices of DataWorks Data Agent
DataFunSummit
DataFunSummit
Jun 24, 2026 · Artificial Intelligence

Three Forms of Large Model Memory – Parameter, Token, and Latent – Why Top Companies Are All‑In

A new paper unifies AI memory research with a three‑dimensional framework (Forms, Functions, Dynamics), classifies memory as parameter‑level, token‑level, or latent‑space, and evaluates real‑world implementations from OpenAI, Google, Amazon and dozens of open‑source frameworks, highlighting trade‑offs such as retrieval quality, catastrophic forgetting and forgetting mechanisms.

AI memoryFramework Comparisonagent architecture
0 likes · 19 min read
Three Forms of Large Model Memory – Parameter, Token, and Latent – Why Top Companies Are All‑In
DataFunSummit
DataFunSummit
Jun 24, 2026 · Artificial Intelligence

Why Ontology Is No Longer a Technical Issue – Exploring Enterprise AI’s Non‑Technical Challenges

In a 90‑minute round‑table, industry experts dissect how ontology has become a management problem, reveal the paradox of AI modeling, expose hidden technical debt in flashy projects, and argue that true AI transformation demands organizational change rather than merely swapping technologies.

AI Native OrganizationAI transformationOntology
0 likes · 16 min read
Why Ontology Is No Longer a Technical Issue – Exploring Enterprise AI’s Non‑Technical Challenges
DataFunSummit
DataFunSummit
Jun 23, 2026 · Artificial Intelligence

How to Engineer Trustworthy AI Agents: Execution Control, Safety Boundaries, and Multi‑Agent Collaboration

In a 90‑minute live technical dialogue, experts from OPPO and Tencent Cloud dissect ten core challenges of moving AI agents from demo to production—covering sandbox vs. permission boundaries, checkpoint design, rollback strategies, tool‑call safety, human‑in‑the‑loop control, multi‑agent coordination, and observability—offering concrete engineering guidelines for building reliable, auditable agents.

AI Agent EngineeringCheckpoint DesignExecution Control
0 likes · 18 min read
How to Engineer Trustworthy AI Agents: Execution Control, Safety Boundaries, and Multi‑Agent Collaboration
DataFunSummit
DataFunSummit
Jun 23, 2026 · Artificial Intelligence

AI Agents in Practice: From Code Generation to Self‑Healing Ops – Driving Enterprise‑Level Efficiency

A 90‑minute technical livestream brought together experts from Ping An Life, China Mobile Jiutian and Sangfor to dissect why enterprise AI agents face engineering, organizational and risk challenges—not model limits—and to outline concrete paths for code‑generation, legacy‑system understanding, operational self‑healing, rule‑model division, and measurable organization‑wide productivity gains.

AI Agentcode generationenterprise AI
0 likes · 18 min read
AI Agents in Practice: From Code Generation to Self‑Healing Ops – Driving Enterprise‑Level Efficiency