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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
May 17, 2026 · Industry Insights

From Single‑point Copilot to Platform‑level Agentic: Real Challenges and Future Paths for Data Platforms

A 90‑minute live discussion with data experts from vivo and YangQianGuan reveals that moving from a simple Copilot assistant to a platform‑level Agentic data system requires fundamental architectural changes, new infrastructure for memory, planning, tool orchestration, security guardrails, knowledge management, robust evaluation, and a clear ROI strategy.

AI governanceBig DataData Platform
0 likes · 19 min read
From Single‑point Copilot to Platform‑level Agentic: Real Challenges and Future Paths for Data Platforms
DataFunSummit
DataFunSummit
May 16, 2026 · Industry Insights

How SelectDB Powers a Next‑Gen Real‑Time Data Warehouse for Banks

The article analyses the structural mismatch between banks' demand for instant data‑driven decisions and their legacy, component‑heavy architectures, then details how SelectDB’s high‑performance, unified MPP engine, schema‑change agility, and financial‑grade security enable a real‑time data‑warehouse platform that supports diverse banking scenarios from dashboards to fraud detection.

AI integrationData SecurityDataMind
0 likes · 19 min read
How SelectDB Powers a Next‑Gen Real‑Time Data Warehouse for Banks
DataFunSummit
DataFunSummit
May 16, 2026 · Industry Insights

What Powers Palantir’s 137% Revenue Surge? Inside Its Ontology‑Based Enterprise AI Platform

Palantir’s Q4 2025 revenue jumped 70% to $14.07 billion, with U.S. commercial revenue soaring 137%, driven not merely by AI hype but by its Ontology‑centric approach that tightly integrates data, business logic, actions, and security, locking large enterprises into a deeply embedded decision‑making stack.

AI OpsCase StudiesData Integration
0 likes · 9 min read
What Powers Palantir’s 137% Revenue Surge? Inside Its Ontology‑Based Enterprise AI Platform
DataFunSummit
DataFunSummit
May 15, 2026 · Artificial Intelligence

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

The article analyzes the shift from keyword‑based to multimodal e‑commerce search, outlines a generic architecture that combines text and image embedding with vector retrieval, and demonstrates how Elasticsearch Serverless and Alibaba Cloud AI Search platform enable a low‑cost, scalable, and high‑performance product search solution.

AI searchElasticSearchEmbedding
0 likes · 20 min read
From Text to Images: Building Multimodal Product Search with Elasticsearch Serverless
DataFunSummit
DataFunSummit
May 14, 2026 · Big Data

How Gravitino, Daft, and Lance Enable Secure, AI‑Driven Multimodal Lakehouse

The article examines the challenges of multimodal data in modern lakehouses and presents a three‑tool stack—Gravitino, Daft, and Lance—that provides unified metadata, distributed multimodal compute, and high‑performance storage, while detailing security governance, integration paths, and future directions.

DaftGravitinoLakehouse
0 likes · 11 min read
How Gravitino, Daft, and Lance Enable Secure, AI‑Driven Multimodal Lakehouse
DataFunSummit
DataFunSummit
May 13, 2026 · Artificial Intelligence

From RAG to Ontology: Palantir’s Semantic Network Drives 85% Growth and Zero Churn

Amid rapidly commoditized large‑model capabilities, Palantir achieved an 85% YoY revenue surge and zero churn by replacing generic RAG approaches with a deep enterprise ontology that unifies business semantics, creating a durable infrastructure moat while other AI firms see valuation collapse.

AI InfrastructureEnterprise AIPalantir
0 likes · 11 min read
From RAG to Ontology: Palantir’s Semantic Network Drives 85% Growth and Zero Churn
DataFunSummit
DataFunSummit
May 12, 2026 · Artificial Intelligence

How a 0.5 MB AI Model Tackles Global Supply‑Chain Challenges: Li‑Net Technology and Applications

The article presents Li‑Net, a 0.5 MB lightweight time‑series model co‑developed by SF Technology and universities, accepted at ICDE 2026, which overcomes multi‑channel, non‑stationary, multimodal forecasting difficulties, achieves state‑of‑the‑art accuracy with low latency, and is deployed across SF’s global logistics to improve demand, inventory and capacity planning while cutting costs.

Li-Netedge deploymentlightweight AI model
0 likes · 4 min read
How a 0.5 MB AI Model Tackles Global Supply‑Chain Challenges: Li‑Net Technology and Applications
DataFunSummit
DataFunSummit
May 12, 2026 · Artificial Intelligence

15 Critical Questions on Why Enterprise AI Agents Need Business Ontology

The article analyzes why large language models and RAG alone cannot meet enterprise AI needs, argues that a business ontology provides essential semantic grounding for agents, outlines ontology construction methods, demonstrates hybrid search improvements, and shares real‑world case studies showing dramatic efficiency gains.

AI AgentsEnterprise AIHybrid Search
0 likes · 16 min read
15 Critical Questions on Why Enterprise AI Agents Need Business Ontology