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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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Latest from DataFunSummit

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DataFunSummit
DataFunSummit
Aug 6, 2026 · Industry Insights

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

Palantir’s SuperRepo moves Ontology from a static business‑modeling layer into a version‑controlled code artifact, letting developers define objects, relationships, actions and functions in TypeScript, preview them locally, and ship the whole business semantics together with the application, while still being a beta product with notable limitations.

AI AgentsEnterprise AIFoundry
0 likes · 17 min read
How Palantir Turns Ontology into Code: The Rise of “Ontology‑as‑Code” in Enterprise AI
DataFunSummit
DataFunSummit
Aug 5, 2026 · Artificial Intelligence

Introducing the First Open Agent Memory Challenge – A Unified Benchmark for Long-Term Memory Systems

The Agent Memory Leaderboard (AML), launched on July 29, 2026 by over twenty universities and research institutes, offers a comprehensive, open benchmark that unifies text and code memory evaluation through standardized data, protocols, ability profiling, low‑barrier APIs, and a global competition with rewards.

Agent MemoryEvaluation ProtocolLong-Term Memory
0 likes · 13 min read
Introducing the First Open Agent Memory Challenge – A Unified Benchmark for Long-Term Memory Systems
DataFunSummit
DataFunSummit
Aug 5, 2026 · Industry Insights

How Palantir Turns Enterprise Data into Actionable AI for Core Business

The article analyzes how Palantir's Foundry and AIP platform enable a mortgage lender to unify heterogeneous data, make regulatory rules traceable, and embed unstructured information into workflows, transforming AI from a standalone model into an executable component of core business operations.

AIPEnterprise AIFoundry
0 likes · 8 min read
How Palantir Turns Enterprise Data into Actionable AI for Core Business
DataFunSummit
DataFunSummit
Aug 4, 2026 · Artificial Intelligence

MemoHarness: How Agents Evolve Beyond Model Parameters

MemoHarness expands the notion of self‑evolving agents by keeping the language model frozen while continuously adapting the external control system—context assembly, tool interaction, generation settings, workflow orchestration, memory management, and output validation—demonstrating measurable gains on terminal, code‑generation, and finance tasks, yet highlighting limited scalability and transferability.

AI AgentsAgentExperience Learning
0 likes · 17 min read
MemoHarness: How Agents Evolve Beyond Model Parameters
DataFunSummit
DataFunSummit
Aug 3, 2026 · Big Data

Why Real‑Time vs Batch Data Diverge 5% and Teams Revert to T+1: The Lambda Architecture Dilemma

Amid exploding real‑time data demand, the traditional Lambda architecture suffers from high cost, data inconsistency and operational complexity, prompting a shift to a unified incremental computation engine that delivers minute‑level latency, sub‑hourly cost, and sub‑1% result divergence, as demonstrated by Kuaishou and Xiaohongshu production deployments.

Incremental ComputationKuaishouLambda Architecture
0 likes · 12 min read
Why Real‑Time vs Batch Data Diverge 5% and Teams Revert to T+1: The Lambda Architecture Dilemma
DataFunSummit
DataFunSummit
Aug 2, 2026 · Artificial Intelligence

How Palantir Integrates Enterprise AI into Core Operations: From Data Integration to Executable Intelligence

The article analyzes how Freedom Mortgage leveraged Palantir Foundry, AIP, and an Ontology‑driven approach to unify heterogeneous mortgage data, encode regulatory rules as traceable objects, and transform documents and calls into actionable business events, illustrating a path from AI prototypes to end‑to‑end operational systems.

AIPEnterprise AIFoundry
0 likes · 9 min read
How Palantir Integrates Enterprise AI into Core Operations: From Data Integration to Executable Intelligence
DataFunSummit
DataFunSummit
Aug 2, 2026 · Artificial Intelligence

When Coding Loops Run Amok: Applying Control Theory to AI‑Assisted Programming

The article critiques uncontrolled AI coding loops that generate massive, unreviewable PRs and proposes a control‑theoretic framework—sensor, controller, actuator, and feedback—to make AI‑driven code changes incremental, safe, and auditable, illustrated with a real Effect‑TS migration case.

AI codingCI/CDEffect-TS
0 likes · 13 min read
When Coding Loops Run Amok: Applying Control Theory to AI‑Assisted Programming
DataFunSummit
DataFunSummit
Aug 1, 2026 · Artificial Intelligence

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

This article presents a detailed technical guide on constructing a multimodal product search system that combines text and image queries using embedding vectors, hybrid dense‑sparse models, vector similarity metrics, and Elasticsearch Serverless’s built‑in vector support, while also covering quantization techniques, hybrid search fusion, and best‑practice deployment architectures on Alibaba Cloud.

AI search platformElasticsearch ServerlessHybrid Search
0 likes · 22 min read
From Text to Images: Building Multimodal Product Search with Elasticsearch Serverless
DataFunSummit
DataFunSummit
Aug 1, 2026 · Artificial Intelligence

MemoHarness: How Agent Evolution Shifts to the External System

MemoHarness expands the notion of self‑evolving agents by keeping the language model frozen and continuously improving the surrounding control system—context assembly, tool interaction, generation settings, workflow orchestration, memory management, and output handling—demonstrating measurable gains on terminal, code‑generation, and finance tasks while highlighting limited experimental scale and selective cross‑task transfer.

Experience LearningHarness engineeringLLM agents
0 likes · 17 min read
MemoHarness: How Agent Evolution Shifts to the External System