AI Engineer - Learn how to integrate AI into software applications
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Overview
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Explore a conference talk from AWS re:Invent 2025 that demonstrates how to enhance Amazon Q for Business using graph-based data intelligence solutions. Discover how to unlock AI's full potential by implementing comprehensive data labeling and fine-grained access control across enterprise data sources. Learn to deploy a unique graph-based approach that classifies data and extracts access insights to create essential Data+AI mapping for tracking user data permissions. Master techniques for safeguarding sensitive information and preventing unintended access to accelerate Amazon Q rollouts in your organization. Understand how to leverage Amazon Q's native security controls to mitigate emerging AI risks including prompt injections, while improving AI response quality by identifying and minimizing redundant and obsolete data. Gain insights from Securiti AI, an AWS Partner, on implementing enterprise-grade data governance strategies that enable secure and efficient AI deployment across all organizational data sources.
Syllabus
AWS re:Invent 2025 - Leverage Graph Insights to Turbocharge Amazon Q for Business (IND209)
Taught by
AWS Events