Articles on AI that make sense
No technical jargon. Practical things you can use in your business right away.
Your people are already using AI at work. They just didn't tell you.
Shadow AI at work: IBM linked ungoverned use to higher breach costs. How to spot it, protect data and provide a safe alternative.
Shadow AI at work: IBM linked ungoverned use to higher breach costs. How to spot it, protect data and provide a safe alternative.
AI referrals to online stores are growing. What agentic commerce means and how to make your offer clear to people, search engines and assistants.
When should a business use a chatbot or an AI workflow? A practical comparison, process examples and a way to automate with human oversight.
Kimi K3's weights are available under its own licence. What that means for business, how to read benchmarks and when switching AI models makes sense.
What Sysdig observed in the JADEPUFFER attack, what remains unverified and how businesses can reduce risk through patching, access controls and backups.
What applies to chatbots, deepfakes and AI content from August 2026? The provider and deployer duties, postponed high-risk rules and a practical checklist.
Article 4 of the EU AI Act: who needs AI literacy measures, practical steps for teams and what the European Commission says about certificates and penalties.
What vibe coding means, which small tasks it suits and when testing, security review and maintenance matter. Practical examples for businesses.
How voice AI agents work for businesses, which calls suit them, what costs to include and which pilot metrics demonstrate real value.
Where AI agents help a business, how they differ from chatbots and when simple automation is enough. A practical guide to measurable pilots, cost and oversight.
AI is no longer just for big corporations. Three areas where it already works for small businesses, what it costs, how long it takes, and why start now.
A plain-English explanation of AI prompts, a vague and specific example, five practical rules and a reusable template. Learn what to check before using the result.
AI or a part-time hire? A worked example with 300 emails shows how to compare time saved, full costs and when automation is worth it.
Knowing AI's limits matters as much as knowing its strengths. Three things AI can't do — understand your business, decide for you, or avoid making things up.
Five practical things AI can handle in your business this week — repetitive e-mails, document summaries, marketing content, 24/7 support and data sorting.