Here is a detailed summary of the video transcription in Markdown format:
Overview of Quick Site and Amazon Q
- Michael, from AWS, introduced Quick Site and Amazon Q, and how they can be embedded into applications to monetize data.
- Two customer speakers, Federo from Theo and Lena from aCommerce, shared their experiences with embedding Quick Site and Amazon Q.
Key Takeaways:
The Business Case
- The ISV market is projected to grow to 175,000 ISVs globally by 2028, producing over 500 million cloud-native apps.
- Customers want analytics capabilities to stand out and monetize their data.
Challenges and Solutions
- Building analytics capabilities in-house can be time-consuming and costly.
- Quick Site is a unified business intelligence solution that is serverless and scalable, offering:
- Dashboards, machine learning insights, paginated reports, and natural language query (Amazon Q).
- Embedding capabilities for dashboards, visualizations, and the full authoring experience.
Embedding Quick Site and Amazon Q
- One-Click Embedding allows for quick prototyping and testing.
- API-based embedding enables production-ready embedding with authentication, branding, and multi-tenancy capabilities.
- Amazon Q provides AI-powered authoring for authors and natural language query for readers, all embeddable.
Customer Experiences
Theo
- Theo, an e-learning platform, needed to provide customers with advanced analytics capabilities.
- They evaluated multiple vendors and selected Quick Site for its embedding capabilities and robust security features.
- Theo offers three tiers of analytics: basic dashboards, custom dashboards with a visual library, and a premium package with full authoring experience.
aCommerce
- aCommerce is a large e-commerce enabler in Southeast Asia, with a wealth of data across their operations.
- They created a "Market Insights" product to provide competitor analysis for their customers, powered by Quick Site and Amazon Q.
- The natural language query capabilities of Amazon Q allow users to ask specific questions and get personalized insights.
- Challenges included balancing ease of use with the complexity of the underlying data and AI-powered features.
Resources
- Quick Site community: A One-Stop shop for resources, experts, and support.
- Embedded Analytics Deep Dive session: A 300-level session on Thursday at 11:30 a.m.
- AWS Booth: Visit the booth for more information and to ask questions.