Talks Supercharge your apps with embedded Amazon QuickSight and Amazon Q (BSI201) VIDEO
Supercharge your apps with embedded Amazon QuickSight and Amazon Q (BSI201) 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.
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