AWS re:Invent 2025 - Build robust data foundations to power enterprise AI and BI (BIZ331)

Building Robust Data Foundations to Power Enterprise AI and BI

The Shift to an AI-Driven Analytics World

• The rise of AI technology is changing the traditional BI-driven analytics architecture
• AI requires open-ended, multimodal, and dynamic reasoning that goes beyond predefined dashboards and human-interpreted results
• Computing to power AI capabilities needs to be high-scale, low-latency, and real-time

Evolving the Data Foundation for AI

• Enterprises need to connect all their data to enable AI to inform across the business
• Centralized semantic knowledge graphs are required for AI to generate consistent context
• Continuous, event-driven data pipelines are needed instead of batch processing
• Scalable, automated policy-driven governance controls are necessary
• Analyses should be automated with AI agents driving workflows

Introducing Amazon QuickSuite

• QuickSuite is a set of AI-powered capabilities for accessing enterprise data, answering questions, and automating workflows
• Key capabilities include:
  • Native chatbot experience for conversational data access
  • Researcher for deep-dive analysis and reporting
  • QuickSight for enhanced AI-powered BI dashboards
  • Flow for automating repetitive business processes
  • Automate for transforming business processes into automated workflows
• The data foundation includes access to structured data, unstructured data, files, and application actions, with a governance layer for access control and security

Unlocking Value from Structured Data

• QuickSuite provides a governed data flow for connecting data sources, defining schemas, and creating queryable data sets
• Key enhancements in 2025 include:
  • Doubling the data set size in the Spice engine to 2TB
  • 2.5x performance improvements for data ingestion and querying
  • Reimagined data preparation experience with no-code transformations
  • Deeper integration with Amazon SageMaker Unified Studio
  • Comprehensive data governance through integration with AWS Lake Formation

Integrating Unstructured Data and Applications

• Knowledge bases allow QuickSuite to integrate and index content from document repositories like Confluence and SharePoint
  • Provides contextual intelligence for AI-powered search and question answering
  • Configurable access controls and automatic synchronization
• Action connectors enable real-time integration with enterprise applications
  • Support on-demand actions triggered by users as well as automated workflows
  • Leverage user-level or service-level authentication and permissions
• Spaces provide collaborative workspaces that aggregate data, content, and actions for specific domains or teams

Bassware's Journey with QuickSuite

• Bassware is a leading invoice lifecycle management provider with a rich data trove from processing over $10 trillion in spend
• Faced challenges with their legacy analytics stack, complex product, and misalignment between data people and business users
• Partnered with AWS to build a governed, scalable, multi-tenant data platform on serverless architecture
  • Unified and enriched analytics-grade data foundation
  • Automated multi-tenant data pipelines processing 26TB daily
  • Deployment engine publishing 30,000+ dashboards in 17 seconds
• Enabled a 90% reduction in development cycle time and significantly faster time-to-insight for customers
• Laying the foundation for predictive workflows, simulations, and AI-driven, proactive accounts payable processes

Key Takeaways

• Enterprises need to evolve their data foundations to support the demands of AI-driven analytics
• QuickSuite provides a comprehensive platform for accessing, governing, and activating enterprise data for AI-powered applications
• Integrating unstructured data and enterprise applications is crucial for building a holistic view and enabling intelligent workflows
• Bassware's journey demonstrates the business impact of a robust, scalable data foundation powered by QuickSuite