Systems | Development | Analytics | API | Testing

Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy from demo to production, drawing on two decades of product leadership at Amazon and Fortune 50 firms. He breaks down why experimentation must tie directly to business OKRs, the four mindset shifts leaders need to scale AI responsibly, and how the AI Trust Lab is building a benchmark evaluation framework for AI model trust and governance.

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AI innovation moves fast, but without compliant data access, even the best ML, AI, and analytics initiatives can stall. In this webinar roundtable, experts from Perforce Delphix, 3T Software Labs, and Redgate explore how organizations can accelerate AI delivery without compromising data privacy, security, or compliance. You’ll hear practical insights and real-world examples on how to remove one of the biggest bottlenecks in modern software and data workflows: access to safe, usable, production-like data.

Zscaler's Tiffany Blakeney shares how her team replaced fragmented tools and months-long development cycles with Snowflake's all-in-one AI platform. By consolidating all data, APIs, and AI models in one secure platform, Zscaler reduced campaign creation from months to minutes—and more importantly, gained the trustworthy, governed AI foundation a cybersecurity company demands. Learn how they're using Snowflake's integrated AI capabilities to move from POC to production faster than ever while maintaining the security posture critical to their industry.