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Here’s what House of the Dragon can teach you about AI strategy
By Paul Maker Published
Governance teams are the difference between a fantasy AI strategy and a functioning one.

When the attacker has no human left to catch
By Richard Werner Published
An escaped AI agent executed a real-world attack without human intervention.

"Unlicensed, unrestricted AI training could destroy the ecosystem for books" — quote of the day by the Authors Guild
By Keumars Afifi-Sabet Published
Many of today's widely used AI systems have been trained on material sourced from books

Why accurate weather forecasting is still so difficult — and why real-time data matters
By Alexander Matveenko Published
AI is making forecasts faster, but even the most advanced models can struggle to predict rapidly changing local weather accurately.

Why scaling AI requires a new economic strategy
By David Villalón Published
Moving past simple model routing to fix enterprise AI's scaling and budget challenges.

Over a million people have clicked LinkedIn's "seems like AI slop" button in just a few weeks - so why is my feed still full of it?
By Mike Moore Published
The battle against LinkedIn AI slop is going well for those of us who like to use our brains.

Why "I approve" can become the most dangerous button in enterprise AI
By Markus Nispel Published
Autonomous AI demands governance, identity controls, and accountability beyond human approval.

Why most organizations are getting AI security wrong (and why it’s about to catch up with them)
By Paul Dignan Published
Most organizations are securing AI incorrectly, leaving critical runtime vulnerabilities exposed as enterprise adoption accelerates.
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