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.
JD Retail's user growth team shares how they built UGO, a user growth ontology that handles daily business changes through knowledge completeness checking, tracing, and freshness mechanisms, with 95%+ strategies fixed in underlying systems.
Orca reaches 79K GitHub stars by orchestrating coding agents like Claude Code and Codex in isolated Git Worktrees, introducing the Agent Development Environment (ADE) concept that shifts developers from supervising single agents to managing parallel agent fleets with built-in diff review and state tracking.
Alibaba's QwenPaw-Data splits enterprise data analytics into three layers—DataBridge for facts, Skill-Hub for methodology, and Host for execution—showing that semantic layer alone is insufficient; ablation experiments reveal methodology constraints dramatically improve analysis breadth, depth, and artifact completeness.
Nous Research secured $90M Series B funding to commercialize its open-source Hermes AI agent for enterprises, offering a decoupled architecture where organizations control model selection, tool integration, execution environments, and persistent memory/skills to reduce vendor lock-in at the cost of increased engineering ownership.
This article explores how ontology-driven architecture enables controllable Agent execution by replacing external constraints with intrinsic semantic structures, detailing the Knora platform's three-layer design and its deployment in energy, manufacturing, and finance sectors.
This article analyzes the evolution from Prompt to Harness for AI Agents, detailing nine production engineering challenges—task state persistence, context reliability, tool safety, result verification, observability, experience reuse, multi-agent collaboration, knowledge accumulation, and implementation roadmap—and proposes four AI-era R&D principles: intent expression, test-first verification, documentation contracts, and Harness sinking to AgentOS.
Nous Research raised $90M Series B for Hermes Agent, an open-source AI agent system that separates model, tools, and execution environment to let enterprises retain control over their agent workflows, memory, and skills while avoiding vendor lock-in.
Eaton demonstrates Equipment Forge at Palantir AIPCon 11, a multi-agent system that uses Ontology to connect engineering requirements, BOM, supply chain, and delivery decisions for complex Engineer-to-Order manufacturing, enabling agents to collaboratively analyze trade-offs while humans retain final approval.
DACon 2026 Beijing showcases 14 presentations from companies like Ant Group, Li Auto, and Shopee detailing how they successfully deployed ontology in production systems, covering architectural choices, semantic layer engineering, knowledge graph integration, and measurable business outcomes across finance, automotive, and e-commerce.
Orca, an Agent Development Environment (ADE) with 79K GitHub stars, orchestrates multiple coding agents like Claude Code and Codex by running each in isolated Git Worktrees, shifting developer focus from code generation to agent fleet management, task allocation, and permission boundaries.
