What main concerns does the Einstein Trust Layer address?

The Einstein Trust Layer primarily focuses on data security, privacy, and the trustworthiness of AI outputs. In the context of using artificial intelligence, ensuring that data is handled securely and that users' privacy is respected is crucial for building trust with users. The Trust Layer enhances the reliability of AI-generated insights by implementing strong data governance policies and transparent AI operations. This is essential in instilling confidence among users that the AI outputs are based on secure and ethically managed data.

While other aspects such as data processing speed, cost efficiency, and AI model training methods are important in the broader context of using AI technologies, they do not specifically encapsulate the core objectives of the Einstein Trust Layer. This layer is designed to address the critical issues surrounding how data is protected, how privacy is maintained, and how the integrity of AI-driven results is guaranteed, which are fundamental to fostering user confidence in AI applications.