When starting a Gen AI project, which of the following is NOT a key consideration?

The focus of a successful Generative AI project must center around various critical considerations that directly impact its effectiveness and user satisfaction. Customization is vital because it allows the AI to meet specific user or organizational needs, enhancing relevance and quality of outputs. User interaction is equally important, as it ensures that the system is user-friendly and capable of effectively engaging with users, which is crucial for driving adoption and satisfaction.

Scale matters as well, as it pertains to the AI's ability to handle varying loads of requests and integrate into larger systems without degradation of performance. These factors are essential for a controlled and efficient generative AI deployment.

Conversely, while data encryption is important in the context of securing sensitive information and maintaining user trust, it is not a primary concern that defines the foundational aspects of starting a generative AI project. Encryption is typically a secondary consideration focusing on security rather than the initial project setup requirements. Thus, it can be seen as an aspect that follows after addressing the primary concerns of customization, user interaction, and scalability.