Accelerating your marketing ideation with generative AI – Part 1: From idea to generation with the Amazon Nova foundation models

Why it matters (2 min)

• Marketing teams face increasing pressure to create engaging campaigns quickly while maintaining brand consistency and creative quality.
• Traditional marketing campaign creation processes often involve multiple iterations between creative teams, stakeholders, and external agencies, leading to extended timelines and increased costs.
• Open receipts to verify and go deeper.

Go deeper (8 min)

Context

Marketing teams face increasing pressure to create engaging campaigns quickly while maintaining brand consistency and creative quality. Traditional marketing campaign creation processes often involve multiple iterations between creative teams, stakeholders, and external agencies, leading to extended timelines and increased costs. The advent and availability of generative models (especially image and video generation ones) has opened the possibility to quickly iterate through multiple campaign proposals in minutes. Nevertheless, efficient campaign creation aided by generative models still requires a high level of skills and mastery of generative tools such as prompt engineering, parameter fine-tuning, application of guardrails, and so on. Editing, scripting, and post-production skills are also important to create stunning stories. In this post, the first of a series of three, we focus on how you can use Amazon Nova to streamline, simplify, and accelerate marketing campaign creation through generative AI . We show how Bancolombia , one of Colombia’s largest banks, is experimenting with the Amazon Nova models to generate visuals for their marketing campaigns. The challenge of…

For builders

Builder: read docs/changelog; watch for breaking changes, quotas, and pricing.

Verify

Prefer primary announcements, papers, repos, and changelogs over reposts.

Receipts

1. Accelerating your marketing ideation with generative AI – Part 1: From idea to generation with the Amazon Nova foundation models (AWS Machine Learning Blog)