Industrial AI has the potential to extend expertise, improve decision-making, and drive performance across manufacturing. But getting value from it requires more than choosing a technology. It starts with knowing where to apply it, how to evaluate it, and what it takes to scale.

Inside this guide, you’ll discover:

• How to identify Industrial AI applications with meaningful business value
• What to evaluate when comparing Industrial AI approaches and technologies
• How leading manufacturers are building organizational buy-in and adoption
• What successful Industrial AI implementations look like in practice, including real-world results

Whether you’re shaping an enterprise AI strategy or evaluating where to apply AI across your manufacturing operations, these nine best practices will help you move from initial use cases to meaningful, scalable impact.