Скачать или смотреть Building the Next Generation of AI Systems | BUILD 2025 Luminary Talk

As generative AI shifts from prototypes to production, the real challenge isn’t just model quality, it’s building systems that teams can trust at scale. Developers and data engineers are being asked to deliver copilots, agents, and assistants that not only generate answers, but do so reliably, securely, and in alignment with business logic. In this luminary talk, Snowflake’s Chief Data & Analytics Officer, Anahita Tafvizi, distills lessons from Snowflake’s own deployments and conversations with leading builders. She unpacks the technical architecture behind trustworthy GenAI, including:
How semantic layers prevent hallucination and preserve consistency
Why observability and evaluation frameworks are non-negotiable for production AI
Enforcing permissions, lineage, and testability across open and proprietary models
Common developer patterns and anti-patterns seen across hundreds of enterprise use cases
Whether you’re scaling an agent into production or just validating a pilot, this session offers a forward-looking blueprint for creating GenAI systems that are not just clever, but also credible, secure, and reusable setting the foundation for AI that endures.

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🔈 Spotify: https://spoti.fi/39vCNjH
🔈 Simplecast: https://bit.ly/3rFCrgA

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