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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
Jan 9, 2026 · Artificial Intelligence

How Healthpeak Revamped Real‑Estate Operations with Palantir’s AI‑Driven Ontology Platform

The article details Healthpeak’s digital transformation of commercial real‑estate management by replacing fragmented spreadsheets with Palantir’s AI Platform (AIP), using a unified ontology to automate data capture, billing, anomaly detection, and voice‑driven workflows, dramatically improving efficiency and scalability.

AIAutomationPalantir
0 likes · 18 min read
How Healthpeak Revamped Real‑Estate Operations with Palantir’s AI‑Driven Ontology Platform
DataFunSummit
DataFunSummit
Jan 9, 2026 · Artificial Intelligence

Designing Scalable Memory for AI Agents: Short‑Term, Long‑Term, and Guardrails

This article distills OpenAI's Build Hour on agent memory patterns, explaining why memory is treated as context engineering, detailing short‑term and long‑term memory architectures, outlining practical challenges like token limits, context explosion, and safety guardrails, and offering engineering best‑practices for production‑grade AI agents.

AIAgent MemoryContext Engineering
0 likes · 20 min read
Designing Scalable Memory for AI Agents: Short‑Term, Long‑Term, and Guardrails
DataFunSummit
DataFunSummit
Jan 8, 2026 · Artificial Intelligence

How Lenovo Reinvented MarTech with AI Agents and Data Fusion

Lenovo transformed its traditional marketing technology workflow by deploying self‑developed AI agents and a unified data‑fusion framework, tackling high content‑creation costs, fragmented channel deployment, and manual data analysis, and achieved measurable efficiency, cost, and performance gains across the enterprise.

AIAutomationDataFusion
0 likes · 21 min read
How Lenovo Reinvented MarTech with AI Agents and Data Fusion
DataFunSummit
DataFunSummit
Jan 7, 2026 · Artificial Intelligence

How Healthpeak Turned Property Management into an AI‑Powered, Ontology‑Driven Operation

Healthpeak, a large medical‑real‑estate REIT, replaced manual spreadsheets and fragmented systems with Palantir’s AI Platform (AIP), building a four‑layer ontology‑based architecture that automates sub‑meter billing, voice‑driven workflows, and real‑time analytics, dramatically boosting efficiency, scalability, and data‑driven decision making.

AIAutomationProperty Management
0 likes · 19 min read
How Healthpeak Turned Property Management into an AI‑Powered, Ontology‑Driven Operation
DataFunSummit
DataFunSummit
Jan 4, 2026 · Artificial Intelligence

How Ant Group’s DeepInsight Boosted Text‑to‑SQL Accuracy by 46% with an AI‑Driven Evaluation Framework

This article details Ant Group’s DeepInsight intelligent evaluation system for Chinese Text‑to‑SQL, describing the AI‑BI background, challenges of existing benchmarks, a feature‑annotated evaluation design, automated dataset generation, experimental results showing a 46% accuracy gain and 71% reduction in failure rate, and future research directions.

AIData AnalyticsText-to-SQL
0 likes · 13 min read
How Ant Group’s DeepInsight Boosted Text‑to‑SQL Accuracy by 46% with an AI‑Driven Evaluation Framework
DataFunSummit
DataFunSummit
Jan 3, 2026 · Artificial Intelligence

What Is Memory Engineering? Unlocking AI’s Long‑Term Recall and Future Potential

A comprehensive dialogue among industry experts explores the concept of memory engineering for AI agents, covering its definition, system‑level challenges from edge to cloud, hybrid technical routes, evaluation metrics, privacy safeguards, audience questions, future directions, and practical advice for developers.

AI agentsevaluationhybrid architecture
0 likes · 24 min read
What Is Memory Engineering? Unlocking AI’s Long‑Term Recall and Future Potential
DataFunSummit
DataFunSummit
Dec 30, 2025 · Artificial Intelligence

How Large Models Are Revolutionizing Anti‑Fraud Detection: Fusion, Script Recognition, and Automated Iteration

This article examines how a major internet platform leverages large‑model AI—through multimodal fusion, script‑recognition fine‑tuning, and an automatic model‑iteration framework—to overcome precision, adversarial, and cross‑scenario challenges in fraud detection, and how agent‑based tools further boost operational efficiency.

agent automationanti-fraudmodel iteration
0 likes · 24 min read
How Large Models Are Revolutionizing Anti‑Fraud Detection: Fusion, Script Recognition, and Automated Iteration
DataFunSummit
DataFunSummit
Dec 29, 2025 · Databases

Why Graph Lakehouses Matter: Inside Flavius’ Cloud‑Native Architecture

This article explains the need for graph lakehouses, defines the concept, details Flavius’ cloud‑native three‑layer architecture (FE, BE, MS), highlights its core innovations such as resource management, metadata design, time‑travel, integrated graph compute and training, and showcases real‑world industry applications.

cloud-nativegraph analyticsgraph database
0 likes · 17 min read
Why Graph Lakehouses Matter: Inside Flavius’ Cloud‑Native Architecture
DataFunSummit
DataFunSummit
Dec 24, 2025 · Artificial Intelligence

Is MCP Still Viable? A One-Year Review and the Rise of A2A

One year after its launch, the Model Context Protocol (MCP) receives a patch-heavy update adding Task abstraction, client-metadata registration, security hardening, and server-side sampling, while the newer A2A protocol offers bidirectional, asynchronous, secure, and extensible multi-agent communication, marking a paradigm shift in agentic AI.

A2AAgentic AIModel Context Protocol
0 likes · 12 min read
Is MCP Still Viable? A One-Year Review and the Rise of A2A
DataFunSummit
DataFunSummit
Dec 23, 2025 · Artificial Intelligence

What Core Capabilities Do Mature GUI Agents Need? Expert Insights from the Agentic AI Summit

In a live discussion hosted by Prof. Yang Jian with experts Zhang Xi and Cui Chen, the panel explores the essential abilities of mature GUI agents, the role of multimodal models in visual understanding, the transfer of code‑agent techniques to GUI tasks, edge‑device performance trade‑offs, complex planning, tool ecosystems, deployment challenges, and future breakthrough scenarios.

Agentic AICode AgentGUI agent
0 likes · 22 min read
What Core Capabilities Do Mature GUI Agents Need? Expert Insights from the Agentic AI Summit