Amazon has released innovative features within Amazon Q Apps, integrated into its Amazon Q Business platform, focused on creating advanced applications based on generative artificial intelligence. These improvements are designed to adapt solutions to the specific needs of businesses and organizations, providing a more robust governance control.
One of the most notable new features is the verified applications function. This development allows administrators to sanction applications created by users according to company standards, making it easier to identify and use high-quality applications in the Amazon Q Apps library. Verified applications will be marked with a special badge, improving their visibility within the system.
Another innovation introduced is the introduction of custom tags. This feature allows administrators to create categories that align with the company’s organizational structure, making it easier for users to find and categorize applications according to their function or department. An example of its utility is in the field of marketing, where tags like ‘Product Marketing,’ ‘Public Relations,’ or ‘Sales’ can be created.
Additionally, Amazon Q Apps now offers the option of private sharing, allowing developers to decide who can access their applications. This improvement not only reduces the “noise” in the application library by showing only relevant applications to each user, but also enables testing and adjustment of versions before widespread deployment.
Lastly, Amazon has launched the data collection applications feature, which is still in the testing phase. This feature allows for internal surveys and collection of inputs from multiple users, generating valuable insights through the use of generative artificial intelligence.
With these updates, Amazon Q Apps strengthens its ability to offer modular and manageable solutions to businesses, enabling more efficient management of artificial intelligence-based applications. These tools optimize daily operations, increasing the efficiency and personalization of internal processes.
via: MiMub in Spanish
