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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 18, 2026 · Artificial Intelligence

From Text to Images: Building Multimodal Product Search with Elasticsearch Serverless

This article examines the evolution of e‑commerce search from simple keyword matching to multimodal, cross‑modal retrieval, explains the core embedding and vector‑search technologies, compares dense, sparse and hybrid models, and demonstrates how Elasticsearch Serverless and Alibaba Cloud AI Search Platform enable a low‑cost, serverless, high‑performance end‑to‑end multimodal product search solution.

AI search platformBBQElasticsearch Serverless
0 likes · 21 min read
From Text to Images: Building Multimodal Product Search with Elasticsearch Serverless
DataFunSummit
DataFunSummit
Jun 17, 2026 · Artificial Intelligence

AI Coding Meets Data Warehousing: From Conversational Help to a Harness Pipeline

The article recounts how a data‑warehouse team built the Harness framework to turn AI‑generated SQL assistance into a fully engineered, end‑to‑end pipeline, addressing four key pain points—semantic drift, precision, rollback cost, and SLA constraints—through a seven‑layer architecture, skill registry, state persistence, and evidence‑based human‑in‑the‑loop checks.

AIAutomationData Warehousing
0 likes · 36 min read
AI Coding Meets Data Warehousing: From Conversational Help to a Harness Pipeline
DataFunSummit
DataFunSummit
Jun 17, 2026 · Artificial Intelligence

Why Agentic AI Inference Is Slow and How NVIDIA Dynamo 1.1 Solves It

Developers deploying Agentic AI face multi‑turn latency caused by repeated token recomputation, KV‑cache eviction, and cold‑starts, and NVIDIA Dynamo 1.1 addresses these issues with KV‑cache‑aware routing, multi‑level cache offload, priority scheduling, and Prefill/Decode separation, as demonstrated in an upcoming Kubernetes‑based live session.

AI inferenceDistributed InferenceKV cache
0 likes · 3 min read
Why Agentic AI Inference Is Slow and How NVIDIA Dynamo 1.1 Solves It
DataFunSummit
DataFunSummit
Jun 15, 2026 · Industry Insights

How Data Ontology Powers Digital and Intelligent Penetration Management in Private Funds

Facing a massive scale of assets and strict regulatory demands, a private‑equity platform leveraged ontology‑driven knowledge graphs and large‑model agents to automate high‑frequency reporting, achieve traceable AI decisions, and build a scalable, explainable intelligence layer for fund‑level transparency.

AI automationData GovernanceKnowledge Graph
0 likes · 10 min read
How Data Ontology Powers Digital and Intelligent Penetration Management in Private Funds
DataFunSummit
DataFunSummit
Jun 14, 2026 · Artificial Intelligence

How cz-cli Empowers Data Engineers by Giving AI Real Understanding of Data Warehouses

The article analyzes how data engineers lose focus to repetitive tasks, describes the design journey from generic LLM usage to the specialized cz-cli agent, details its 37 skills and typical scenarios such as lineage analysis and incremental pipelines, and shows how the tool returns attention control to engineers while also enabling business users to self‑serve data.

AI AgentsAutomationData Engineering
0 likes · 13 min read
How cz-cli Empowers Data Engineers by Giving AI Real Understanding of Data Warehouses
DataFunSummit
DataFunSummit
Jun 13, 2026 · Artificial Intelligence

Beyond General LLMs: Efficient Adaptation and Data Value Mining for Finance

The article details a systematic practice—starting from the “iceberg” challenges of finance, through data and knowledge engineering, reverse knowledge extraction with REER, multi‑dimensional synthetic data generation, prompt engineering (APO), cost‑aware fine‑tuning, inference acceleration, and emotion‑value evaluation—culminating in actionable guidelines for deploying large models in banking scenarios.

FinanceInference AccelerationModel Fine‑tuning
0 likes · 14 min read
Beyond General LLMs: Efficient Adaptation and Data Value Mining for Finance
DataFunSummit
DataFunSummit
Jun 13, 2026 · Artificial Intelligence

Ontology: The Semantic Operating System Powering Large‑Model AI

The article argues that in the era of large language models the missing layer for enterprises is not more model capability but a unified, computable, and evolvable semantic structure—an ontology that acts as a semantic operating system, and it examines why this is needed, how it can be built, and the organizational and open‑source challenges involved.

Knowledge GraphOntologyOpenKG
0 likes · 17 min read
Ontology: The Semantic Operating System Powering Large‑Model AI
DataFunSummit
DataFunSummit
Jun 12, 2026 · Artificial Intelligence

How Ontology‑Driven Harness Engineering Enables Controllable AI Agent Execution

The article analyzes why current AI agents often act unpredictably in complex enterprises, proposes an ontology‑driven Harness Engineering framework that embeds multi‑dimensional safety constraints, context engineering, and feedback loops, and demonstrates its practical implementation through the Knora platform and a real‑world work‑order change example.

AI AgentsContext EngineeringKnora
0 likes · 18 min read
How Ontology‑Driven Harness Engineering Enables Controllable AI Agent Execution
DataFunSummit
DataFunSummit
Jun 12, 2026 · Artificial Intelligence

How Agentic Architectures Power Next‑Gen Recommendation and Search Systems

This article analyzes cutting‑edge AI search and recommendation technologies, covering Alibaba Cloud's Agentic RAG architecture, Huawei Noah's LLM‑enhanced recommender evolution, and Baidu's generative ranking model GRAB, each with detailed designs, performance metrics, and real‑world deployment insights.

AI AgentsGenerative Rankinglarge language models
0 likes · 6 min read
How Agentic Architectures Power Next‑Gen Recommendation and Search Systems