IT Glossary
What is generative AI?
Generative AI covers the systems that produce new content — text, images, code, audio, video — from instructions written in plain language.
Proposal copy, product photography, source code, voiceovers for a video: all of these can now be produced by software rather than merely processed by it. That is the break generative AI represents compared with the previous wave of artificial intelligence. The older systems recognised and classified — is this spam, is there a cat in this photo — while generative systems create material that did not exist before. Behind them sit models trained on enormous volumes of data, which have absorbed the patterns of language, images or code well enough to produce fresh variations on demand. For a business the useful question is not what these systems can generate, but where you currently lose hours on repetitive content: customer replies, product descriptions, internal reports, translations, presentation material. That is where generative AI cuts cost visibly. The condition attached is human review, because these systems can produce confident, fluent, entirely wrong output, and confidence is exactly what makes an unchecked error expensive.
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Why it matters for your business
Content in minutes rather than days
Product descriptions, proposals, emails and reports are produced at machine speed while your team reviews and refines instead of writing from a blank page.
Personalisation that actually scales
Every customer can receive messaging and offers fitted to their situation — a level of tailoring no team can sustain by hand across hundreds of accounts.
Cheap prototypes and variants
Ten versions of an ad, a layout or a visual concept cost minutes of generation, so you can test with the market before committing budget to the final one.
Frequently asked questions
Are generative AI and LLM the same thing?
Not quite. A large language model is the family specialised in text, while generative AI is the whole category, including models that produce images, music, speech, video or code. Every LLM is generative AI; not every generative AI system is an LLM.
Who owns the content AI generates for my company?
Contractually, the major providers assign you the usage rights to output generated from your account. The unsettled area is copyright protection for purely machine-generated work, which still varies by jurisdiction — which is why important brand material deserves human editing and human authorship on top.
How do we introduce generative AI without taking on risk?
Start with internal processes where mistakes are caught easily: meeting summaries, first drafts of emails, internal documentation. Set explicit rules about what data staff may put into public tools, and only then move to customer-facing content with mandatory human review.
Let’s talk about your project
Message us on WhatsApp or send an email — you talk directly to a developer.
office@northdan.com · +40 752 070 247