Measuring What Matters: Where AI and Digital Investment Deliver Real Manufacturing Impact

Most manufacturing leaders view AI adoption as a technology decision. In practice, it is often a data and operating discipline challenge first.

Across multi-site operations, the barriers to digital transformation are rarely limited to the technology on the plant floor. Different sites often operate with different reporting systems, KPI definitions, data structures, and performance standards. Without a consistent operating and data foundation, technologies such as predictive maintenance, digital twins, and AI-enabled quality can struggle to deliver meaningful enterprise-level value.

This moderated discussion brings together leading manufacturing executives and hands-on practitioners to examine these challenges from both the operating and technology perspectives. The discussion will bring practical perspectives across multi-site operations, digital transformation, cost intelligence and optimization, and the application of emerging technologies.

The panel will explore how organizations establish the data, governance, and operating discipline required to scale transformation across multiple facilities, and where investments in digital and AI create measurable business impact versus where they fall short.