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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
Jul 7, 2026 · Artificial Intelligence

Ant Group OpAgent: Online RL‑Powered Open‑Domain Browser Automation Agent

The article details Ant Group's OpAgent, an open‑domain browser automation agent that overcomes perception, timeliness, and implicit interaction challenges through a three‑stage pipeline of multi‑task supervised fine‑tuning, online reinforcement learning, and a four‑module Planner‑Grounder‑Reflector‑Summarizer architecture, achieving a 71.6% Pass@1 score on WebArena and releasing all code and models publicly.

OpAgentWebArenaagent architecture
0 likes · 15 min read
Ant Group OpAgent: Online RL‑Powered Open‑Domain Browser Automation Agent
DataFunSummit
DataFunSummit
Jul 6, 2026 · Artificial Intelligence

How Agents Evolve Without Degrading: From Risk Control to Semantic Engineering

A live discussion with experts from finance and data engineering explores how to build collaborative, cost‑effective, and responsibly governed AI agents, covering architecture choices, evaluation metrics, scaling challenges, and the balance between human oversight and autonomous decision‑making.

AI governanceCost OptimizationScalable AI
0 likes · 19 min read
How Agents Evolve Without Degrading: From Risk Control to Semantic Engineering
DataFunSummit
DataFunSummit
Jul 6, 2026 · Artificial Intelligence

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

The article explains how modern e‑commerce search is evolving from simple keyword matching to multi‑modal retrieval, outlines a generic architecture that combines text and image embeddings, describes vector similarity metrics and quantization techniques, and demonstrates how Elasticsearch Serverless and Alibaba Cloud AI Search Platform enable a low‑cost, fully managed end‑to‑end multi‑modal product search solution.

ElasticsearchEmbeddingMulti-modal Search
0 likes · 21 min read
From Text to Images: Building Multi‑Modal Product Search with Elasticsearch Serverless
DataFunSummit
DataFunSummit
Jul 6, 2026 · Artificial Intelligence

A New Paradigm for Deploying ChatBI with Harness and Skill

The article explains how Ctrip leveraged mature large‑language models to overcome traditional data‑product pain points by building a ChatBI solution that combines a Multi‑Agent framework, memory management, Harness‑driven tool orchestration and Skill‑based standardization, and it details the technical choices, quality controls, and an upcoming AI meetup.

AIChatBIData Analytics
0 likes · 3 min read
A New Paradigm for Deploying ChatBI with Harness and Skill
DataFunSummit
DataFunSummit
Jul 5, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search with Agentic Architectures

The article analyzes cutting‑edge AI search and recommendation techniques—including Alibaba Cloud's Agentic RAG, Huawei Noah's LLM‑enhanced recommender, and Baidu's generative ranking model—detailing their architectures, multi‑modal retrieval strategies, performance gains, and practical deployment insights.

AI SearchAgentic RAGAlibaba Cloud
0 likes · 6 min read
Designing Next‑Gen Recommendation and Search with Agentic Architectures
DataFunSummit
DataFunSummit
Jul 4, 2026 · Industry Insights

How a Modern Data Platform Is Redefining the Future of Insurance

The article details how Ping An Property & Casualty transformed its legacy siloed data architecture into a systematic Kunpeng Intelligent Platform, built three core pillars—Agent platform, OSI semantic layer, and AI tools—boosted ChatBI accuracy, evaluated OpenClaw’s limits, and delivered end‑to‑end AI across marketing, underwriting, claims, agriculture, and forecasting.

AIBig DataEnd-to-End Automation
0 likes · 12 min read
How a Modern Data Platform Is Redefining the Future of Insurance
DataFunSummit
DataFunSummit
Jul 4, 2026 · Artificial Intelligence

How Ontology‑Driven Architecture Enables Controllable AI Agents

The article analyzes the limitations of current Agent‑centric AI solutions and proposes an ontology‑driven “Harness Engineering” framework that embeds business rules directly into the semantic layer, providing architecture constraints, context engineering, and feedback loops to achieve safe, auditable, and business‑controllable agent execution.

AI AgentContext EngineeringControl
0 likes · 18 min read
How Ontology‑Driven Architecture Enables Controllable AI Agents
DataFunSummit
DataFunSummit
Jul 3, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search Systems with Agentic Architectures

This article reviews cutting‑edge AI search and recommendation techniques—including Alibaba Cloud’s Agentic RAG, Huawei’s LLM‑enhanced recommendation pipeline, and Baidu’s generative ranking model GRAB—detailing their architectural evolution, multimodal retrieval strategies, performance benchmarks, and practical deployment insights.

AI SearchAgentic RAGGPU Acceleration
0 likes · 6 min read
Designing Next‑Gen Recommendation and Search Systems with Agentic Architectures
DataFunSummit
DataFunSummit
Jul 3, 2026 · Databases

Agent Native: Ultra‑Fast Analytical Database Paradigm for Agents

The presentation at the Agentic AI Summit details the four core challenges of agent‑driven data analysis and introduces SelectDB’s Agent Native architecture—combining sub‑second query speed, unified multimodal search, semantic understanding, and cloud‑elastic observability, with reported storage savings of up to 88% and 5‑10× text‑search acceleration.

Cloud ElasticityData InfrastructureHybrid Search
0 likes · 7 min read
Agent Native: Ultra‑Fast Analytical Database Paradigm for Agents