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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
Apr 21, 2026 · Industry Insights

How SelectDB Cuts 60% Costs and Boosts Real‑Time Performance for New Energy Batteries

The whitepaper analyzes the data‑driven transformation of the new‑energy battery sector, outlines four core challenges—massive data streams, fast‑changing R&D demands, long manufacturing cycles, and multi‑dimensional quality standards—and demonstrates how SelectDB’s unified lake‑warehouse architecture delivers million‑level throughput, second‑level latency, up to 30× query speedup, and 60% cost reduction across real‑world case studies.

Big DataCase studyNew Energy
0 likes · 18 min read
How SelectDB Cuts 60% Costs and Boosts Real‑Time Performance for New Energy Batteries
DataFunSummit
DataFunSummit
Apr 21, 2026 · Industry Insights

How AI Search & Recommendation Systems Beat Multi-Modal, High-Concurrency Hurdles

This article reviews cutting‑edge technical practices from Alibaba Cloud AI Search, Huawei Noah's recommendation platform, and Baidu's GRAB model, detailing how multi‑agent RAG architectures, large‑language‑model enhancements, and generative ranking overcome high‑concurrency, multi‑modal data, and feature‑engineering bottlenecks.

AI searchMulti-Modal Retrievalgenerative ranking
0 likes · 6 min read
How AI Search & Recommendation Systems Beat Multi-Modal, High-Concurrency Hurdles
DataFunSummit
DataFunSummit
Apr 20, 2026 · Artificial Intelligence

Why Ontology‑Driven Agents Are the Key to Safe, Controllable Enterprise AI

The article analyses the current hype around AI agents, explains why pure prompt‑based constraints fail in complex business scenarios, and proposes an ontology‑driven Harness Engineering framework that embeds architectural constraints, context engineering, and a traceable feedback loop to achieve secure, business‑level controllability.

AI AgentsContext EngineeringEnterprise AI
0 likes · 21 min read
Why Ontology‑Driven Agents Are the Key to Safe, Controllable Enterprise AI
DataFunSummit
DataFunSummit
Apr 20, 2026 · Industry Insights

How Apache Gravitino Solves Data Fragmentation in the Multi‑Cloud AI Era

In a Data for AI meetup, Datastrato's VP of Engineering Shi Shaofeng explains how Apache Gravitino's metadata federation, metalake architecture, and unified access control address multi‑cloud data fragmentation, compliance, and AI‑driven governance while outlining version 1.1.0 enhancements and the roadmap for 1.2.0.

AI data governanceApache GravitinoMulti-Cloud
0 likes · 12 min read
How Apache Gravitino Solves Data Fragmentation in the Multi‑Cloud AI Era
DataFunSummit
DataFunSummit
Apr 19, 2026 · Big Data

How OPPO Built a Multi‑Modal Data Lake with Gravitino and Curvine

OPPO’s data‑lake team, led by David, detailed their transition from Hive‑Spark to a unified multi‑modal lake, leveraging Gravitino for cross‑engine metadata management and the open‑source Curvine cache to eliminate data silos, boost I/O performance, and support massive image, recommendation, and AI‑Agent workloads.

Big DataData LakeDistributed Cache
0 likes · 11 min read
How OPPO Built a Multi‑Modal Data Lake with Gravitino and Curvine
DataFunSummit
DataFunSummit
Apr 19, 2026 · Artificial Intelligence

How to Build a Multimodal Product Search Engine with Embedding and Vector Retrieval on Elasticsearch Serverless

This article explains a complete multimodal product search solution that combines text and image embeddings, dense, sparse, and hybrid models, vector similarity metrics, and Elasticsearch Serverless features such as dense_vector, sparse_vector, hybrid search, quantization, and RRF ranking to achieve fast, accurate, and cost‑effective retrieval.

AIElasticSearchEmbedding
0 likes · 20 min read
How to Build a Multimodal Product Search Engine with Embedding and Vector Retrieval on Elasticsearch Serverless
DataFunSummit
DataFunSummit
Apr 18, 2026 · Industry Insights

Why Palantir’s Ontology Beats Traditional Data Models – Insights from Industry Leaders

A closed‑door forum gathered experts from academia and leading Chinese tech firms to dissect Palantir’s ontology‑driven approach, comparing it with conventional data modeling, exploring AI integration, and highlighting the managerial and technical challenges that determine its success in enterprise environments.

Data GovernanceEnterprise AIKnowledge Graph
0 likes · 27 min read
Why Palantir’s Ontology Beats Traditional Data Models – Insights from Industry Leaders
DataFunSummit
DataFunSummit
Apr 17, 2026 · Artificial Intelligence

Why RAG Projects Fail: Real‑World Pitfalls and Proven Solutions

This article dissects the hype‑versus‑reality gap of Retrieval‑Augmented Generation in enterprises, exposing low recall, hallucinations, and cost overruns, then offers a systematic diagnosis, hybrid search, reranking, security controls, and advanced GraphRAG and Agentic RAG strategies to achieve reliable production deployments.

Best PracticesEnterprise AILLM
0 likes · 17 min read
Why RAG Projects Fail: Real‑World Pitfalls and Proven Solutions
DataFunSummit
DataFunSummit
Apr 17, 2026 · Artificial Intelligence

From Manual Agents to Self‑Improving AI: My OpenClaw vs Hermes Experiment

A senior Google Cloud AI product manager shares a hands‑on study comparing OpenClaw and the open‑source Hermes agent, revealing how a disciplined prompt‑engineering feedback loop can turn static agents into self‑improving systems while highlighting ownership, back‑tracking, and practical deployment considerations.

AI AgentsHermesOpenClaw
0 likes · 7 min read
From Manual Agents to Self‑Improving AI: My OpenClaw vs Hermes Experiment
DataFunSummit
DataFunSummit
Apr 16, 2026 · Industry Insights

Why Palantir’s Ontology Is Redefining Enterprise AI Platforms

Palantir’s explosive Q4 revenue growth, its unique Ontology‑based operating model, high‑profile enterprise case studies, deep AI integration, and the resulting lock‑in challenges together illustrate how the company is reshaping the boundaries of enterprise software and why its success goes far beyond a simple AI hype.

Palantirmarket analysisontology
0 likes · 9 min read
Why Palantir’s Ontology Is Redefining Enterprise AI Platforms