Join our Senior Director of Product Management, Geoffrey Laissus, and GigaOm Field CTO, Whit Walters, to learn how to securely scale enterprise AI while maintaining absolute data governance and compliance.
As enterprise AI transitions from simple public chatbots to autonomous agents, the boardroom risk mandate has fundamentally changed. Knowing exactly where your data resides, who is processing it, and how to manage the "blast radius" of AI permissions is now a legal and technical necessity. This interactive session provides practical guidance and a deep dive into our newest solution framework.
In this engaging session, you will learn how to:
- Defeat "shadow AI" hazards - Build and launch enterprise-ready AI agents faster with structural guardrails across AWS, Azure, and GCP using a guided step-by-step wizard.
- Bridge the AI trust gap - Replace raw model scores with "calibrated confidence" metrics built from historical Human-in-the-Loop corrections and lookups.
- Anchor foundational data safety - Secure all onboarded digital assets with automated pipelines for virus and malware detection.
- Maintain bulletproof audit trails - Track user and agent activities via conversational search logs that guarantee users only see information they are explicitly permitted to access.
- Turn safety into velocity - Discover how to achieve a 60% reduction in processing cycle times using the advanced LLM pipelines in our latest Digital Mail release.
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