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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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Latest from DataFunSummit

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DataFunSummit

Jul 2, 2026 · Big Data

How Litefuse’s New Single‑Process Mode Lets an Agent Observability Platform Run in 25 seconds

Litefuse open‑sources a single‑process, sub‑400 MB binary that deploys an Agent observability and evaluation platform in about 25 seconds, explains why Docker‑free deployment matters, and details how Apache Doris’s inverted index, VARIANT JSON type, and compute‑storage separation address the massive, long‑text, semi‑structured traces that differentiate Agent monitoring from traditional observability.

Agent observabilityApache DorisCost Optimization

0 likes · 12 min read

How Litefuse’s New Single‑Process Mode Lets an Agent Observability Platform Run in 25 seconds

DataFunSummit

Jul 2, 2026 · Artificial Intelligence

Harness Engineering’s Semantic Foundation: Ontology‑Driven Controllable Agent Execution

The article analyzes why current AI agents, despite impressive demos, often act beyond business rules, proposes an ontology‑driven semantic base called Harness Engineering to embed constraints, context, and auditability directly into the agent’s execution flow, and details the Knora implementation that demonstrates these concepts in real‑world scenarios.

AI AgentsContext EngineeringKnora

0 likes · 19 min read

Harness Engineering’s Semantic Foundation: Ontology‑Driven Controllable Agent Execution

DataFunSummit

Jul 1, 2026 · Artificial Intelligence

Ontologies: The Semantic Operating System for Large‑Model AI

While the industry has spent the last two years chasing ever larger language models, enterprises actually lack a unified, computable and evolvable semantic structure, and ontologies—re‑imagined as a semantic operating system—provide the necessary backbone for reliable, business‑aware AI deployment.

OntologySemantic Layerenterprise AI

0 likes · 16 min read

Ontologies: The Semantic Operating System for Large‑Model AI

DataFunSummit

Jul 1, 2026 · Artificial Intelligence

How Bailei Knowledge Base Uses Flink and DLF (Paimon) to Build an Enterprise‑Scale Full‑Modal RAG System

Bailei Knowledge Base delivers an enterprise‑grade, full‑modal Retrieval‑Augmented Generation solution covering documents, tables, images and audio‑video, powered by Flink's high‑throughput streaming for billions of daily document indexes and DLF/Paimon’s three‑layer reliable backup, achieving sub‑200 ms latency and 99.99% availability.

DLFFlinkKnowledge Base

0 likes · 26 min read

How Bailei Knowledge Base Uses Flink and DLF (Paimon) to Build an Enterprise‑Scale Full‑Modal RAG System

DataFunSummit

Jul 1, 2026 · Artificial Intelligence

Deploying AI Agents: Protocols, Costs, and Evolution from Demo to Production

A 90‑minute live discussion with three industry experts dissects why AI agents often stall after a successful demo, examining protocol collaboration, self‑evolution capabilities, and token‑cost control, while offering concrete engineering, management, and business‑value insights for enterprise AI adoption.

AI AgentsAI codingManagement

0 likes · 18 min read

Deploying AI Agents: Protocols, Costs, and Evolution from Demo to Production

DataFunSummit

Jun 30, 2026 · Artificial Intelligence

From Prompt to Loop: A Comprehensive Review of AI Development Paradigms

The article traces the evolution of large‑language‑model engineering from early prompt engineering through context and harness engineering to the emerging loop engineering paradigm, detailing each stage’s techniques, challenges, technical debt, cost‑caching mechanisms, safety contracts, and practical guidelines for building production‑grade autonomous AI agents.

AI AgentsContext Engineeringharness engineering

0 likes · 26 min read

From Prompt to Loop: A Comprehensive Review of AI Development Paradigms

DataFunSummit

Jun 30, 2026 · Industry Insights

From AI+BI to Enterprise AI Decision Intelligence: Introducing DecideX

The article analyzes why AI has struggled to enter core enterprise decision processes, proposes that the missing piece is accountable, context‑aware AI, and details how DecideX’s decision‑intelligence platform addresses this gap through a layered architecture, real‑world case studies, and a 5A implementation methodology.

5A MethodologyAIAI+BI

0 likes · 11 min read

From AI+BI to Enterprise AI Decision Intelligence: Introducing DecideX

DataFunSummit

Jun 29, 2026 · Big Data

Generate Ad Creative with One SQL Using Hologres for Intelligent Creation and Closed‑Loop Analysis

The article explains how Hologres AI Function and Skills transform traditional, slow, and fragmented ad‑creative production into a fully automated, SQL‑driven workflow that handles multimodal data ingestion, AI‑based labeling, video generation, and real‑time performance analysis in a single closed‑loop system.

AI FunctionAd CreativeData Warehouse

0 likes · 12 min read

Generate Ad Creative with One SQL Using Hologres for Intelligent Creation and Closed‑Loop Analysis

DataFunSummit

Jun 28, 2026 · Big Data

How Cainiao Uses DataWorks Data Agent to Deploy AI-Powered SuperETL

Cainiao combines a decade of logistics data-warehouse experience with Alibaba Cloud’s DataWorks Data Agent to build the SuperETL intelligent system, which orchestrates nine fine-grained skills, enforces safety hooks, and boosts data-development efficiency by 2-3× while achieving over 80% AI automation in key scenarios.

AICainiaoData Agent

0 likes · 12 min read

How Cainiao Uses DataWorks Data Agent to Deploy AI-Powered SuperETL

DataFunSummit

Jun 27, 2026 · Artificial Intelligence

How We Turned AI Coding for Data Warehouses into an End‑to‑End Pipeline with Harness

The article analyzes why AI‑generated SQL alone cannot meet production data‑warehouse requirements, outlines four critical pain points, and presents a seven‑layer Harness framework that adds deterministic engineering controls, state persistence, skill registration, anti‑pattern libraries, and evidence‑based checks, achieving up to 94% time reduction and near‑zero side‑effects.

AIAutomationData Warehouse

0 likes · 34 min read

How We Turned AI Coding for Data Warehouses into an End‑to‑End Pipeline with Harness