How Bark.com and AWS collaborated to build a scalable video generation solution | Amazon Web Services

How Bark.com and AWS collaborated to build a scalable video generation solution | Amazon Web Services

This post is cowritten with Hammad Mian and Joonas Kukkonen  from Bark.com.

When scaling video content creation, many companies face the challenge of maintaining quality while reducing production time. This post demonstrates how Bark.com and AWS collaborated to solve this problem, showing you a replicable approach for AI-powered content generation. Bark.com used Amazon SageMaker and Amazon Bedrock to transform their marketing content pipeline from weeks to hours.

Bark connects thousands of people each week with professional services, from landscaping to domiciliary care, across multiple categories. When Bark’s marketing team identified an opportunity to expand into mid-funnel social media advertising, they faced a scaling problem: effective social campaigns require high volumes of personalized creative content for rapid A/B testing, but their manual production workflow took weeks per campaign and couldn’t support multiple customer segment variations.

https://aws.amazon.com/blogs/machine-learning/how-bark-com-and-aws-collaborated-to-build-a-scalable-video-generation-solution/