Official account of the DataFun community, dedicated to sharing big data and AI industry summit news and speaker talks, with regular downloadable resource packs.
The article examines how Palantir’s Foundry and AIP platform unify heterogeneous mortgage data, regulatory rules, documents, and customer interactions through an ontology, enabling AI to move from answering questions to driving traceable, executable business actions within a 90‑day pilot.
The article analyzes Freedom Mortgage's deployment of Palantir Foundry and AIP, showing how a unified ontology links heterogeneous loan data, regulatory rules, documents, and calls so AI can move from answering questions to driving real‑world mortgage processes within about 90 days.
The article argues that traditional Retrieval‑Augmented Generation (RAG) discards experience after each query, and proposes RDS ContextDB’s Skill‑defined abilities and CLI‑driven paths as a way for agents to continuously capture, reuse, and evolve business knowledge, with a live demo announced for Agentic DB Day.
The article walks through the evolution of enterprise search from keyword‑based retrieval to Agentic AI, detailing Elasticsearch 9.4’s vector‑search optimizations, columnar metric engine, ES|QL pipeline, and Agent infrastructure, and shows benchmark‑backed speed and storage gains that make the platform a solid foundation for AI agents.
The article analyzes how Freedom Mortgage leveraged Palantir Foundry and AIP to unify heterogeneous loan‑related data, make regulatory rules traceable, ingest unstructured documents and calls, and evolve AI prototypes into an end‑to‑end operational system within about 90 days.
The article analyzes the knowledge bottlenecks that hinder enterprise AI agents, proposes a three‑layer ontology‑driven architecture, details a six‑step ontology construction workflow, showcases concrete office‑automation scenarios (document review, meeting minutes, document structuring), and outlines evaluation metrics and a fast‑track rollout plan.
The article analyses why early RAG deployments suffer from low recall, hallucinations and cost overruns, breaks down eight concrete pain points—from PDF parsing pitfalls to the lost‑in‑the‑middle effect—then presents a systematic diagnosis framework, proven best‑practice roadmap, advanced GraphRAG and Agentic RAG approaches, and practical engineering trade‑offs for enterprise rollout.
The article examines how to construct a container‑based sandbox infrastructure for multi‑agent AI systems, covering isolation mechanisms, lifecycle management, resource scaling, checkpoint/commit techniques, the OpenKruise Agents project, ecosystem integration, and production case studies with performance metrics.
Palantir’s SuperRepo integrates Ontology definitions, TypeScript Functions and React applications into a single monorepo, making business semantics versioned, testable and deployable, while exposing a unified development loop for AI agents yet remaining in beta with notable limitations.
In July 2024 Apache Fluss received unanimous approval from the Apache Incubator IPMC and ASF board, graduating to a Top‑Level Project; the article details its community growth, core Lakestream architecture, real‑time streaming storage capabilities, adoption by major enterprises, and how it enables AI agents with fresh, unified data for real‑time decisions.
