Cam Davie

As enterprises accelerate AI adoption, the modern data stack is shifting from fragmented point tools to intelligence-driven platforms. AI agents are consolidating workflows that once required separate solutions for observability, profiling, lineage and governance — enabling faster decisions and automated remediation. In this session, we explore how Snowflake’s AI-native platform accelerates this shift and how Acceldata’s agentic data management (ADM) provides the governed automation layer that unifies trust, observability and action on top of Snowflake — scaling reliable, decision-ready data operation.

Your AI is only as good as your data. Downtime, pipeline failures, and blind spots threaten revenue, compliance, and trust. Join Acceldata at Big Data London to explore Agentic Data Management (ADM), where AI agents autonomously resolve issues, optimize pipelines, and ensure governance. Powered by xLake Reasoning Engine, ADM delivers trusted, AI-ready data with self-healing operations. Hear how enterprises like Dun & Bradstreet boosted reliability and compliance. Ideal for data leaders, engineers, architects, analysts, product managers, and governance heads seeking autonomous data excellence. Visit Booth M70 for live demos

Discover how your wider Enterprise Data Stack impacts your Snowflake data quality and readiness. Proactively address issues using data observability powered by agentic data management to enforce operational governance, while enabling collaboration between technical and business teams — all while managing costs and improving operating efficiencies to deliver trusted, AI-ready data with confidence.