Author

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.

1.7k

Articles

Likes

6.8k

Views

Comments

Latest from DataFunSummit

100 recent articles max

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 EngineeringHarness Engineering

0 likes · 18 min read

How Ontology‑Driven Harness Engineering Enables Controllable AI Agent Execution

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

DataFunSummit

Jun 11, 2026 · Big Data

How MaxCompute Enables Multimodal Storage and Hybrid Computing for Powerful Digital Agents

The article details MaxCompute's three‑stage approach—production‑ready Agent access via MCP and Skill, a business‑oriented semantic layer, and multimodal Blob storage with hybrid compute—culminating in a CPU‑only home‑design demo that showcases end‑to‑end Agent workflows, security controls, and mobile integration.

BlobDigital AgentHybrid Computing

0 likes · 11 min read

How MaxCompute Enables Multimodal Storage and Hybrid Computing for Powerful Digital Agents

DataFunSummit

Jun 11, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search with Agentic Architectures

This article reviews 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 GRAB—detailing their architectures, multi‑modal retrieval strategies, performance gains, and practical deployment insights.

AI searchAgentic RAGBaidu GRAB

0 likes · 6 min read

Designing Next‑Gen Recommendation and Search with Agentic Architectures

DataFunSummit

Jun 10, 2026 · Artificial Intelligence

Why Memory Is the Biggest Challenge for AI Agents and How MemOS Boosts Cloud Calls by Over 200%

The article analyzes how memory limitations hinder AI agents, compares model‑driven and application‑driven approaches, details the five‑layer MemOS architecture, reports cloud service usage growth of 100‑200% with token savings of up to 72%, and shows how MemOS enhances OpenClaw and enterprise deployments.

AI AgentCloud ServiceMemOS

0 likes · 19 min read

Why Memory Is the Biggest Challenge for AI Agents and How MemOS Boosts Cloud Calls by Over 200%

DataFunSummit

Jun 10, 2026 · Databases

Sonar-TS: A New Text-to-SQL Paradigm for Time‑Series Databases

The paper defines the NLQ4TSDB problem of letting non‑expert users query massive time‑series data with natural language, builds the large‑scale NLQTSBench benchmark, proposes the neural‑symbolic Sonar‑TS framework that searches then verifies, and shows it outperforms existing baselines while highlighting remaining challenges.

NLQ4TSDBNeural SymbolicSonar-TS

0 likes · 9 min read

Sonar-TS: A New Text-to-SQL Paradigm for Time‑Series Databases

DataFunSummit

Jun 9, 2026 · Artificial Intelligence

From Poor RAG Performance to Production‑Ready Systems: A Deep Technical Walkthrough

The article dissects why early RAG deployments suffer from low recall, hallucinations and runaway costs, then presents a step‑by‑step diagnostic framework, hybrid search architecture, knowledge‑engineering tricks, caching and routing strategies, and explores advanced GraphRAG and Agentic RAG techniques to build reliable, enterprise‑grade solutions.

Agentic RAGGraphRAGHybrid Search

0 likes · 20 min read

From Poor RAG Performance to Production‑Ready Systems: A Deep Technical Walkthrough

DataFunSummit

Jun 9, 2026 · Artificial Intelligence

From Gut Feelings to Measurable Metrics: Practicing the Rubrics‑Based Expert Knowledge Extraction and Annotation System CRAFT

The article analyzes the growing difficulty of evaluating large AI models, critiques traditional RLVR and RLHF approaches, introduces a Rubrics‑based evaluation paradigm, describes the design and three‑stage workflow of the CRAFT system, reports math‑domain experiments showing up to 6.2 percentage‑point gains, and outlines future extensions to other domains.

AI evaluationCRAFTRubrics

0 likes · 14 min read

From Gut Feelings to Measurable Metrics: Practicing the Rubrics‑Based Expert Knowledge Extraction and Annotation System CRAFT

DataFunSummit

Jun 8, 2026 · Artificial Intelligence

Agent Architecture in Action: Building Next‑Gen Recommendation and Search Systems

The article reviews cutting‑edge technical practices for next‑generation recommendation and search, covering Alibaba Cloud AI Search's Agentic RAG multi‑agent design, Huawei Noah's LLM‑enhanced recommendation evolution, Baidu's generative ranking (GRAB) for ads, and Elasticsearch‑based vector RAG implementations, with concrete architecture details and performance results.

AI searchAgentic RAGelasticsearch

0 likes · 6 min read

Agent Architecture in Action: Building Next‑Gen Recommendation and Search Systems

DataFunSummit

Jun 7, 2026 · Artificial Intelligence

Harness Engineering: Safety, Human‑Agent Collaboration, and Multi‑Agent Design

In a 90‑minute technical livestream, three experts dissect ten core challenges of bringing AI agents from demo to production, covering execution control, sandbox versus permission boundaries, checkpoint design, rollback strategies, tool‑call safety, human‑in‑the‑loop interaction, multi‑agent coordination, observability, and memory management.

Agent EngineeringMulti-Agent CoordinationObservability

0 likes · 17 min read

Harness Engineering: Safety, Human‑Agent Collaboration, and Multi‑Agent Design