As AI adoption accelerates, the spotlight is turning to a critical success factor that many businesses are still struggling to master: data readiness. While 74% of organizations are investing in AI this year, fewer than half trust the data powering their models. The result? Delayed projects, inconsistent outputs, and mounting operational risk.
Join this webinar to explore how Snowflake and Semarchy are helping enterprises overcome the data challenges undermining AI success. Backed by new research from Semarchy, we’ll unpack the disconnect between AI ambition and execution—and the practical steps business and data leaders can take to close that gap.
You’ll learn how to:
- Identify and overcome the top data challenges slowing down AI initiatives
- Build trust in your data with a practical readiness framework
- Use MDM to eliminate silos and create a single source of truth
- Accelerate AI success with Semarchy’s native Snowflake app for data quality, integration, and governance
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Meet our speakers

Alex D’Anna
SVP Solution Engineering

Scott Moore
Senior Director of PreSales at Semarchy