The recent advancements in generative artificial intelligence (generative AI) have brought about new challenges for cloud migrations. These challenges impact both ongoing migrations and those in the planning stages. The integration of generative AI into cloud environments introduces risks related to data isolation, data sharing, and service costs.

For instance, the US Space Force has decided to halt all generative AI implementations until concerns regarding data aggregation are resolved. As generative AI is a relatively novel technology, issues such as data isolation and lifecycle management may not have been fully considered in migration strategies. The eagerness to adopt generative AI could potentially expedite cloud migrations, leading to a lack of awareness regarding the associated data risks.

Amazon Web Services (AWS) offers technical controls and business solutions to address these challenges. By leveraging AWS services, organizations can mitigate the risks posed by generative AI and ensure a smooth transition to the cloud. Here are three key approaches to safeguard cloud migration plans from the negative impacts of generative AI:

1. Engage the Cloud Center of Excellence (CCoE) in generative AI data governance: By involving the CCoE in data governance for generative AI initiatives, organizations can establish proactive measures to reduce data risks and build trust with business leaders.
2. Organize, document, and approve the data architecture supporting generative AI initiatives: Proper documentation and approval processes for the data architecture can help ensure that generative AI projects align with organizational goals and compliance requirements.
3. Revisit cloud cost and utilization estimates in the context of generative AI: Organizations should reassess their cost and resource utilization estimates to account for the impact of generative AI on cloud spending and performance.

Many customers rely on AWS architecture and services to implement these strategies effectively and achieve their migration goals. By adopting these technical controls and business solutions, organizations can navigate the complexities of integrating generative AI into their cloud environments and maximize the benefits of this innovative technology.