Amazon Q Features for Enriching Software Applications

Introduction

• The presentation provides an overview of the new Amazon Q features that help software providers (ISVs) build more enriching features for their end-users.
• The key topics covered include:
  1. The need for cross-application features in software applications
  2. The challenges faced by ISVs in building such features
  3. How Amazon Q simplifies the process of building these features
  4. Examples of how ISVs are leveraging Amazon Q to enhance their applications
  5. Details on the Amazon Q Embedded and Amazon Q Index features
  6. How ISVs can get started with these new capabilities

The Need for Cross-Application Features

• Employees today have to work across multiple applications to get their work done, which can be inefficient and time-consuming.
• Each application is designed to work well in its own domain, but they lack the ability to seamlessly work together.
• Users would benefit from experiences that are aware of the context across different applications, providing insights and information where they need it.

Challenges for ISVs

• Building cross-application features is difficult due to the following challenges:
  1. Lack of full context of the user's work across applications
  2. Difficulty in integrating data from different applications and normalizing the data
  3. Ensuring enterprise-grade security, privacy, and compliance when integrating data
  4. Providing a seamless user experience within the ISV's application, without adding more applications to solve the problem

How Amazon Q Simplifies the Process

Amazon Q provides two key features to address these challenges:

1. Amazon Q Embedded:

   • Allows ISVs to embed the Amazon Q experience directly within their application.
   • Provides the ability to customize the user interface to match the ISV's brand and user experience.
   • Enables ISVs to leverage the Amazon Q capabilities without having to build the entire assistant from scratch.

2. Amazon Q Index:

   • Provides ISVs with access to a cross-application data index maintained by Amazon Q.
   • Allows ISVs to retrieve relevant content from this index through a dedicated API, which can then be used to enrich their own generative AI features.
   • Offers flexibility for ISVs to use the AI model of their choice, rather than being limited to a specific model.

Examples of ISVs Leveraging Amazon Q

The presentation showcases examples of how various ISVs are using Amazon Q to enhance their applications:

1. Zoom: Integrating Amazon Q to provide an "AI Companion" experience that helps users prepare for and stay up-to-date during meetings.
2. Asana: Building a "Smart Chat" feature that allows users to ask questions and get contextual answers based on cross-application data.
3. Miro: Utilizing the Amazon Q Index to power their "Collections" feature, which enables users to curate and generate content based on data from multiple sources.

Onboarding and Integration

The presentation also explains the two main ways ISVs can onboard customers and integrate with Amazon Q:

1. Customers Granting Access to Their Amazon Q Index: Existing Amazon Q business customers can grant access to their pre-built index for ISVs to leverage.
2. ISVs Managing the Amazon Q Index: ISVs can build and manage the Amazon Q index on behalf of their customers, making it easier to onboard a wider range of customers.

Key Takeaways

• Amazon Q provides ISVs with the tools to build more enriching, cross-application features for their end-users.
• The Amazon Q Embedded and Amazon Q Index features offer flexibility and ease of integration for ISVs.
• ISVs can leverage Amazon Q to build innovative experiences that keep users engaged and productive within their applications.
• Amazon Q maintains enterprise-grade security and privacy standards, ensuring the trustworthiness of the data and insights.
• ISVs can get started with Amazon Q through a streamlined onboarding process, whether their customers are existing Amazon Q business users or not.