Enterprise-Grade Data and AI Sharing, Trusted for Agents, Apps and More

Why It Matters

By guaranteeing data availability, cutting storage overhead, and delivering full audit visibility, Snowflake’s upgrades reduce operational risk and accelerate trustworthy AI deployments across enterprises.

Key Takeaways

• 44% firms run agentic AI in production
• Listing BCDR ensures data availability during outages
• Resharing eliminates copy storage and reduces latency
• Observability provides audit trails for shared data
• Zero-ETL sharing cuts operational overhead

Pulse Analysis

Enterprises are shifting generative‑AI from pilot projects to core business services, with the ROI of Gen AI and Agents 2026 report showing 44% of organizations already running agentic AI in production. This acceleration creates a pressing need for data infrastructures that can sustain high‑velocity workloads while maintaining continuity and governance. Traditional copy‑based pipelines introduce latency, storage bloat, and stale data—issues that become critical when AI models depend on real‑time patient records, financial transactions, or supply‑chain signals.

Snowflake’s new Listing Business Continuity and Disaster Recovery (BCDR) tackles the availability challenge by automatically replicating shared data products across regions, ensuring AI services remain functional during outages. The Resharing capability eliminates the need for local copies, allowing on‑the‑fly transformations such as masking, column mapping, or row‑level security, which cuts storage costs and reduces data staleness. Meanwhile, the observability suite—featuring Access History, Account Usage, and schema‑level introspection—gives data owners a clear view of who accesses listings, what changes occur, and how downstream applications consume the data, thereby strengthening compliance and trust.

These enhancements position Snowflake as a strategic platform for production‑grade AI, differentiating it from competitors that still rely on manual disaster‑recovery scripts or opaque data‑sharing models. Companies adopting the new features can expect tighter SLA adherence, lower operational expenses, and a clearer governance framework, all of which accelerate time‑to‑value for AI initiatives. Organizations should evaluate their current data‑sharing architecture, pilot the Resharing workflow on a non‑critical dataset, and enable Listing BCDR to future‑proof their AI services against regional disruptions.