Proposal for a Semantic Kernel for Business Workspaces - Part 2
A Grammar of Meaning: Types, Canonical Units, Gauge Invariance
The Proposal: Why Business Workspaces Need a Semantic Kernel
You cannot govern an AI agent against meaning that was never formally defined.
Every business application defines meaning privately — reconciled N×M times, heuristically, at the edges. AI agents turn that from an inconvenience into a structural failure.
Thoughts on Cybersecurity in the Age of AI
The year is 2025, and artificial intelligence has become the defining force in cybersecurity—a double-edged sword sharper than any technology we’ve seen before.
Smart Strategies
In 2024, AI is fundamentally changing how businesses operate, requiring careful strategy and implementation to be truly effective. By prioritizing data quality, ethical practices, and employee training, companies can better harness AI's capabilities and improve their overall operations.