From Pilot to Platform: Scaling Industrial AI Across the Enterprise

Many manufacturers have successfully launched Industrial AI pilots—predictive maintenance models, quality analytics, or energy optimization tools—but struggle to scale beyond isolated use cases. This panel brings together enterprise leaders to discuss how to transition from proof-of-concept to fully integrated, enterprise-wide AI platforms. Topics will include aligning IT and OT architectures, standardizing data infrastructure, managing change across plants, ensuring cybersecurity, and building governance frameworks that support repeatable deployment. Attendees will gain practical insights into turning fragmented AI experiments into scalable, secure, and value-driven enterprise platforms.

Panelists will discuss pragmatic strategies for:

• Why Most AI Pilots Stall: Understand the common technical, organizational, and cultural barriers that prevent successful pilots from scaling enterprise-wide.

• Building a Scalable Data Foundation: Learn how to standardize data architecture across IT and OT environments to support repeatable AI deployment.

• Governance & Cybersecurity by Design: Discover how to embed governance, model management, and cybersecurity into your AI platform from day one.

• Change Management at Plant Level: Gain practical strategies for driving operator adoption and aligning plant leadership with enterprise AI initiatives.

• From ROI to Enterprise Value: Learn how leading organizations shift from isolated ROI calculations to measurable, portfolio-level impact across multiple facilities.

Attendees will leave with concrete frameworks, reference architectures, and best practices to take AI from isolated pilot projects to robust, plant-wide deployments that deliver consistent ROI in tough industrial conditions.