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DataFunTalk
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DataFunTalk

Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.

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Recent Articles

Latest from DataFunTalk

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DataFunTalk
DataFunTalk
Oct 1, 2026 · Artificial Intelligence

EvoOntology: Self-Evolving Ontology Boosts Data Agent Accuracy 17.8% While Cutting Tokens 20%

Renmin University's EvoOntology introduces a self-evolving ontology layer for data agents that transforms static semantic layers into runtime services, using execution traces to continuously patch content, tool, and schema layers via a builder agent and evolution agent with validation gates, improving trajectory-wise accuracy by 17.8% and reducing total token usage by 20% across multiple benchmarks.

Agent TrajectoriesDDR-BenchData Agents
0 likes · 17 min read
EvoOntology: Self-Evolving Ontology Boosts Data Agent Accuracy 17.8% While Cutting Tokens 20%
DataFunTalk
DataFunTalk
Sep 29, 2026 · Artificial Intelligence

Ontology: The Only Blueprint for Enterprise AI Agents — Forbes & China's Convergence

Forbes Technology Council article argues ontology is the sole blueprint for enterprise AI agents, citing Palantir, Databricks, Microsoft, and Glean convergence; Chinese firms across healthcare, industry, and tech independently hit the same wall, with 30+ case studies at DACon 2026 Beijing demonstrating ontology-driven implementations.

China AI implementationDACon 2026context engineering
0 likes · 19 min read
Ontology: The Only Blueprint for Enterprise AI Agents — Forbes & China's Convergence
DataFunTalk
DataFunTalk
Sep 29, 2026 · Industry Insights

Palantir AIPCon 11: How Ontology Turns AI Agents Into Operational Handoffs Across 12 Enterprise Cases

An analysis of 12 Palantir Ontology case studies from AIPCon 11 showing how AI agents hand off tasks across roles — insurance, manufacturing, defense, aviation, media, pharma — while preserving context, accountability, and decision rationale, with concrete metrics and clear boundaries between demo and production.

AI AgentsAIPConBusiness Workflow
0 likes · 31 min read
Palantir AIPCon 11: How Ontology Turns AI Agents Into Operational Handoffs Across 12 Enterprise Cases
DataFunTalk
DataFunTalk
Sep 29, 2026 · Artificial Intelligence

Ontology-Driven Agent Control: From External Guardrails to Internal Semantic Skeletons

The article presents an ontology-driven approach to controllable Agent execution, replacing external prompt-based constraints with internal semantic structures. It details three pillars—architectural constraints, context engineering, and feedback loops—implemented in the Knora platform using a labeled property graph ontology layer, cognitive engine, and Agent execution layer, with a manufacturing case study showing 70x efficiency gains.

AI AgentsAgent ControlHarness engineering
0 likes · 28 min read
Ontology-Driven Agent Control: From External Guardrails to Internal Semantic Skeletons
DataFunTalk
DataFunTalk
Sep 28, 2026 · Industry Insights

JD Health Replaces RAG with Deterministic Engineering Stack for Medical AI

JD Health rebuilt a four-layer engineering stack — model, knowledge, harness, and delivery — replacing probabilistic RAG with deterministic Agentic Search and structured knowledge base LLMwiki to achieve verifiable, auditable medical AI across clinical tasks.

Agentic SearchDeterministic AIEngineering Stack
0 likes · 5 min read
JD Health Replaces RAG with Deterministic Engineering Stack for Medical AI
DataFunTalk
DataFunTalk
Sep 28, 2026 · Artificial Intelligence

Why Agents Are Splitting Off a Decision Layer: Jev and the System One Model

TypeSafe's Jev introduces a specialized 'System One' model for high-frequency structured decisions like routing and tool selection, enabling agents to offload bounded judgments from expensive generative LLMs into a fast, calibrated decision layer that sits between rule-based logic and complex reasoning.

Agent ArchitectureDecision LayerJev
0 likes · 23 min read
Why Agents Are Splitting Off a Decision Layer: Jev and the System One Model
DataFunTalk
DataFunTalk
Sep 27, 2026 · Artificial Intelligence

AWS Strands Harness Cuts Agent Costs 77% by Swapping Runtime, Not Model

AWS open-sourced Strands Harness, a pre-assembled agent runtime that reduces costs 77% versus Claude Code on the same Claude Fable 5 model by optimizing context management, memory layering, prompt caching, and progressive skill loading, shifting evaluation focus to Model × Harness × Workload combinations.

AI AgentsAWSAgent Runtime
0 likes · 17 min read
AWS Strands Harness Cuts Agent Costs 77% by Swapping Runtime, Not Model
DataFunTalk
DataFunTalk
Sep 26, 2026 · Artificial Intelligence

OpenAI Demotes RAG: Context Graphs Become Primary for Enterprise Agents

OpenAI's V7 case study reveals a shift where enterprise agents query a pre-built Context Graph first, falling back to RAG only when the graph lacks information, addressing retrieval bottlenecks shown by the HERB benchmark and enabling reliable multi-step agent workflows.

Agent ArchitectureContext GraphHERB Benchmark
0 likes · 15 min read
OpenAI Demotes RAG: Context Graphs Become Primary for Enterprise Agents
DataFunTalk
DataFunTalk
Sep 25, 2026 · Artificial Intelligence

Amap's Text-to-SQL Accuracy Jump: 50% to 95% via Skill Architecture

Amap's intelligent query product raised accuracy from 50% to 95% by replacing RAG with a Skill-based Agent architecture that uses on-demand knowledge retrieval and self-reflection, backed by semantic layer modeling and a three-part evaluation flywheel.

Agent ArchitectureAmapBI
0 likes · 6 min read
Amap's Text-to-SQL Accuracy Jump: 50% to 95% via Skill Architecture