Prototype to Production: What It Takes to Build Enterprise-Grade AI Applications

The AI landscape is cluttered with impressive demos and promising proofs of concept—but turning those early wins into real, scalable impact is a different challenge entirely. This webinar dives deep into what it actually takes to evolve from experimentation to production in enterprise AI.

Join a panel of experts who have built and deployed AI at scale to explore the operational, architectural, and organizational requirements that separate enterprise-ready AI from pilot projects that never leave the lab. We'll cover how to navigate infrastructure decisions, design for governance and observability, and build systems that are robust, compliant, and built to last.

Key Takeaways:

1️⃣ From Idea to Impact: What separates successful enterprise AI deployments from stalled prototypes.

2️⃣ Architecting for Scale: Best practices for building AI pipelines that are modular, maintainable, and audit-ready.

3️⃣ Trust and Governance: How to bake in model observability, compliance, and responsible AI from day one.

4️⃣Collaboration Across Functions: Why cross-team alignment (ML, IT, data, product) is essential—and how to make it work in practice.

5️⃣ Lessons from the Field: Real-world insights from leaders who’ve scaled AI across industries.

Panelists to be announced soon.

Register here