Generative AI refers to models capable of producing new content or outputs such as text, images, code, audio or structured data based on instructions and context.
How it works
In business it can support content operations, customer service, search, analysis, coding and process assistance. Effectiveness depends on context quality, source control, workflow design and human review.
Practical example
An ecommerce team can use a model to generate first drafts of product descriptions from structured data while maintaining tone rules, checks and final approval.
Why it matters
Generative AI can reduce time spent on repetitive cognitive tasks and enable new conversational interfaces, but value comes from integration into the process.
What to watch
Plausible outputs can still be wrong. High-impact uses require verification, guardrails, logging, data security and clear accountability.