Practical perspectives on enterprise AI — no hype, no fluff. What actually works in production environments.
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Every vendor has GPT-4. The real competitive advantage in enterprise AI isn't the model — it's your data quality, governance framework, and ability to deploy responsibly at scale. Here's what actually matters.
Everyone is building agents. Few are building agents that work reliably in production. Context engineering — how you structure, compress, and maintain information across agent workflows — is the difference between a demo and a deployment.
The EU AI Act is in force. Most guidance you'll find is written by lawyers for lawyers. This is a ground-level walkthrough of what it actually means for your AI systems, your team, and your timeline — written for technical leaders.
Last-click attribution is broken. It systematically rewards the wrong channels and misdirects marketing budgets. Here's how modeling all journeys — converted and non-converted — using conditional probabilities gives you a fundamentally more accurate picture.
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