Planning Migrations to successfully incorporate Generative AI

This article discusses strategies for successfully incorporating generative AI into cloud migration plans. It highlights challenges like data isolation, data sharing, and service costs, and provides three key approaches:

Specifically, the article covers:

• Technical Controls: Using AWS services like Amazon Bedrock, VPCs, AWS accounts, S3 bucket policies, and encryption to isolate and secure data for generative AI.
• Engage the Cloud Center of Excellence (CCoE): Elevating generative AI discussions within the CCoE for proper governance, data security, compliance, and access management.
• Organize Data Architecture: Updating data migration, sovereignty, and governance strategies to support generative AI data.
• Update Financial Estimates: Revisiting cloud migration cost estimates to account for additional expenses from integrating generative AI.
• Conclusion: Proactive planning through governance, architecture updates, and cost management enables organizations to leverage generative AI while mitigating risks during cloud migrations.