Artificial Intelligence Blogs for Technologists

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AI in banking, LLMs in production, AI infrastructure and governance, and what actually changes when you deploy AI at enterprise scale, written for technologists not hype-chasers.

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06 May 2026 Artificial Intelligence 👁 44 views

The Dark Factory Fallacy: Why Banks Cannot Automate Their Way to Zero

Why the most powerful operational model in financial services already exists, almost nobody is copying it, and the people who should be leading the charge are the biggest obstacle to it. 1. What a Dark Factory Actually Is In advanced manufacturing, a dark factory is a facility that runs without human beings on the floor. […]

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10 Jan 2026 Artificial Intelligence 👁 38 views

Protected: Neo by Capitec: AI Client Support That Resolves Issues Proactively

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21 Jun 2026 Artificial Intelligence 👁 24 views

The Contract Clause That Cannot Save You: What Switzerland’s Rejection of Palantir Means for Enterprise Technology Leaders

There is a version of this story that most technology vendors would prefer you heard. In that version, Switzerland evaluated Palantir’s data analytics platform, found it impressive, but ultimately declined due to vague concerns about national sovereignty: a regulatory sentiment, a political posture, nothing that applies to a commercial enterprise operating under normal procurement constraints. […]

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09 Jun 2026 Artificial Intelligence 👁 23 views

The Agentic Rollout Gap: Why AI Products Still Need Armies of Consultants

Agentic systems should not remove humans from deployment. They should remove irreversible decisions, and that distinction is the entire argument. Every SaaS vendor suddenly has an AI story: AI powered workflows, AI assisted operations, autonomous recommendations, self healing infrastructure, intelligent observability, agent driven decisions. The pitch deck is confident, the demo is smooth, and then […]

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29 Jun 2026 Artificial Intelligence 👁 9 views

DGX vs Mac Studio for Local LLMs: A Startup’s Guide to Choosing Your AI Hardware

Published: June 2026 | Author: Andrew Baker Running large language models locally is no longer the exclusive domain of hyperscalers. Startups are increasingly asking a deceptively simple question: should we drop $300k on an NVIDIA DGX node, or pick up a Mac Studio for a fraction of that cost? The answer depends entirely on your […]

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