AI Glossary
Generative AI
AI systems that create new content — text, images, code, or data — rather than just analyzing existing content. ChatGPT, Claude, and DALL-E are examples of generative AI tools.
Understanding Generative AI
Generative AI is the category of AI that produces new outputs rather than classifying or analyzing existing data. It powers text generation (ChatGPT, Claude), image creation (DALL-E, Midjourney), code generation (GitHub Copilot), and even video and music creation.
For businesses, generative AI's immediate value is in content creation (marketing copy, reports, documentation), code development (faster feature delivery), customer communication (personalized emails, chat responses), and data augmentation (generating synthetic training data).
The technology is evolving rapidly. Capabilities that required custom development a year ago are now available as API calls, and costs drop roughly 50% annually — making generative AI increasingly accessible to businesses of all sizes.
Generative AI in Canada
Canada's Competition Bureau has issued guidance on AI-generated content in advertising, requiring businesses to ensure AI-generated marketing claims are truthful and not misleading.
Frequently Asked Questions
Content drafting, email writing, report summarization, code generation, data analysis, customer service responses, and proposal creation. Any task involving language generation or transformation is a strong candidate.
No. Generative AI can produce inaccuracies (hallucinations) and should always be reviewed by a human before publishing, especially for regulated industries or customer-facing content.
See Generative AI in Action
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