• Why Executives Need Some Data Therapy to Solve their AI Problems

    Businesses have historically believed that technology, from mainframe computers to modern AI, will resolve their challenges. However, while automation offers immediate benefits, it also has unintended consequences,…

  • Closing AI Security Gaps with Knowledge Graphs

    Traditional perimeter security and external guardrails fail to contain autonomous AI agents, as seen in recent breaches. True agent safety and data sovereignty require native knowledge layer…

  • Quick take: Opposition to AI data centers and how to guide it

    The article discusses growing opposition to AI data centers in the U.S., highlighting a Gallup poll showing that 70% of Americans oppose constructing them locally. Activist Saul…

  • How Explainable AI Changes How Businesses Run

    The complexity of deep supply chains often conceals hidden risks that buyers may overlook. Researchers at Cambridge propose a method to uncover these relationships using a combination…

  • 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…