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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
Aug 17, 2026 · Industry Insights

How Palantir Turns Ontology into Code: The Rise of “Ontology‑as‑Code” in Enterprise AI

Palantir’s new SuperRepo embeds Ontology definitions, TypeScript‑declared objects, Functions and React applications into a single monorepo, enabling versioned, testable, and deployable business models that let AI agents operate within a governed enterprise runtime, though the feature is still in beta with notable limitations.

AgentEnterprise AIFoundry
0 likes · 16 min read
How Palantir Turns Ontology into Code: The Rise of “Ontology‑as‑Code” in Enterprise AI
DataFunSummit
DataFunSummit
Aug 17, 2026 · Industry Insights

AI Era Data Infrastructure: From Storing Data to Enabling Agent‑Driven Context

The article analyzes how the rise of AI agents transforms data platforms from simple storage and query engines into AI‑native systems that provide trustworthy, real‑time context for autonomous decision‑making, outlining the three‑layer evolution of storage, compute, and application and the architectural upgrades required for modern data lakes.

AIAgentCloud Computing
0 likes · 13 min read
AI Era Data Infrastructure: From Storing Data to Enabling Agent‑Driven Context
DataFunSummit
DataFunSummit
Aug 16, 2026 · Artificial Intelligence

How Multi‑Agent Architectures Power the Next Generation of Recommendation and Search Systems

The article reviews cutting‑edge AI search and recommendation techniques—including Agentic RAG, multi‑modal retrieval, GPU‑accelerated indexing, and Baidu’s generative ranking model GRAB—detailing their architectures, optimization strategies, and measured performance gains such as a 1.5% AUC lift.

AI SearchAgentic RAGGPU acceleration
0 likes · 6 min read
How Multi‑Agent Architectures Power the Next Generation of Recommendation and Search Systems
DataFunSummit
DataFunSummit
Aug 15, 2026 · Industry Insights

How Palantir’s SuperRepo Turns Ontology into Code for Enterprise AI

Palantir’s SuperRepo extends a traditional monorepo by embedding Ontology definitions, TypeScript‑based Functions and React applications into a single versioned codebase, enabling business models to be authored, tested, reviewed and deployed like software while exposing a controlled runtime for AI agents, albeit still in beta with limited capabilities.

Enterprise AIFoundryMCP
0 likes · 16 min read
How Palantir’s SuperRepo Turns Ontology into Code for Enterprise AI
DataFunSummit
DataFunSummit
Aug 15, 2026 · Operations

Why SaaS Pricing Must Evolve Beyond Seat Licenses for AI Agents

The article explains that when AI agents become part of enterprise SaaS, pricing can no longer rely solely on seat subscriptions; instead, three separate ledgers for model compute, data‑tool usage, and task results are required, along with detailed event tracking, budgeting controls, and trace‑based audit to accurately reflect true consumption.

AI AgentsEnterprise AIMCP
0 likes · 20 min read
Why SaaS Pricing Must Evolve Beyond Seat Licenses for AI Agents
DataFunSummit
DataFunSummit
Aug 14, 2026 · Artificial Intelligence

How Ontology‑Driven Harness Engineering Enables Controllable Agent Execution

The article analyses why current AI agents often act beyond business rules, proposes an ontology‑driven Harness Engineering framework that provides built‑in architectural constraints, context engineering, and a verifiable feedback loop, and demonstrates its practical realization through the Knora platform with real‑world case studies.

AI AgentsAgent ControlContext Engineering
0 likes · 20 min read
How Ontology‑Driven Harness Engineering Enables Controllable Agent Execution
DataFunSummit
DataFunSummit
Aug 13, 2026 · Cloud Native

Agent Architecture Evolution: From Monolithic Self‑Management to Distributed Hosting

The article outlines a step‑by‑step evolution of Agent systems, explaining why traditional microservice patterns fail, describing three monolithic deployment models, detailing how separating session, memory, and environment state enables distributed hosting, and presenting function‑as‑a‑service to fully managed ReAct and multi‑Agent collaboration via Registry and A2A.

AgentAgent RegistryFunction-as-a-Service
0 likes · 14 min read
Agent Architecture Evolution: From Monolithic Self‑Management to Distributed Hosting
DataFunSummit
DataFunSummit
Aug 13, 2026 · Artificial Intelligence

Agent Architecture in Action: Building Next‑Gen Recommendation & Search Systems

The article reviews a collection of technical chapters that analyze how multi‑agent AI architectures, large‑language‑model enhancements, and generative ranking models are applied to solve high‑concurrency, multimodal, and multi‑hop challenges in modern recommendation and search systems, presenting concrete designs, performance numbers, and real‑world case studies.

AI SearchAgentic RAGGenerative Ranking
0 likes · 6 min read
Agent Architecture in Action: Building Next‑Gen Recommendation & Search Systems
DataFunSummit
DataFunSummit
Aug 12, 2026 · Artificial Intelligence

How Meta’s Open‑Source 30B Muse Glimmer Fits Into 24 GB VRAM for Always‑On Local Agents

Meta’s Muse Glimmer is a 30B dense transformer with a visual encoder that, after 4‑bit quantization, runs within 24‑32 GB VRAM, achieves agentic benchmark strengths, and uses DFlash speculative decoding to reach 233 tok/s, enabling always‑on, high‑frequency local AI agents on consumer hardware.

AI modelModel QuantizationMuse Glimmer
0 likes · 9 min read
How Meta’s Open‑Source 30B Muse Glimmer Fits Into 24 GB VRAM for Always‑On Local Agents