Name: Beyond the Prototype: What It Takes to Build Enterprise-Grade AI
Start: 2026-01-28T14:00:00-05:00
End: 2026-01-28T15:00:00-05:00

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.

4️⃣**Collaboration 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](https://hubs.ly/Q03VNJ3f0)**

Amelia Mink

Charlotte Data Science, Machine Learning and AI

datasciconnect

Technology

Predictive Analytics

Artificial Intelligence

Data Science

Machine Learning

Business Intelligence

Hadoop

Big Data

Business Intelligence & Data Warehousing

MapReduce

Data Analytics

Data Visualization

Visualization

Business Analytics

Advanced Analytics

Onne J

Shikha Kashyap

Mark Roggenkamp

Houston VanHoy

Mark

Matt

Thomas Hauger

Beyond the Prototype: What It Takes to Build Enterprise-Grade AI

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Charlotte Data Science, Machine Learning and AI

Beyond the Prototype: What It Takes to Build Enterprise-Grade AI

Charlotte Data Science, Machine Learning and AI

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