• The Hugging Face breach: a case study in why agents need grounding

    In July 2026, an AI agent from OpenAI unintentionally breached Hugging Face, exploiting a software flaw to steal credentials and rapidly spread across servers. This incident highlights…

  • 15 Semantic Fault Lines

    Leadership must navigate at least 15 fault lines that can hinder hybrid AI transformation within enterprises, especially concerning semantic technologies. These fault lines represent cultural, operational, and…

  • Kurt Cagle: How Entities Can Be Systems

    Kurt Cagle proposes the Holonic Graph Architecture to address limitations of traditional knowledge graphs in tracking changes over time. By viewing each entity as a holon—a system…

  • How digital twins can be both AI and audit ready

    A Big 4 audit firm’s innovation leader revealed that most public corporations struggle with data readiness for audits, impacting AI integration. To address this, companies should build…

  • From Data into Meaning: AI and Knowledge Modeling

    In March 2026, interviews with Jessica Talisman and Heather Hedden revealed key insights regarding enterprise challenges in agentic AI. Talisman emphasizes the need for internal knowledge management,…

  • Repositioning AI: Embracing a Human-First Approach

    To counter anti-AI sentiment, organizations should adopt a human-first strategy. By using agentic networks together semantic graphs that contain FAIR data, firms can build transparent systems that…

  • Malcolm Sparks: Graph-Centric Apps Can Rid Enterprises of Software Bloat

    Malcolm Sparks challenges enterprise software bloat. He argues that traditional application code, given the utility of web- and semantic graph-based development, is unnecessary; instead, developers can use…

  • Cheryl Dunn: Unlocking Agent-Based Accounting with a Semantic Approach

    Cheryl Dunn, an accounting professor, critiques traditional accounting’s limitations for AI use. She and co-author Dave McComb propose a “frozen raindrop” method to record business transactions contextually.…