In this episode, I had the pleasure of interviewing Jonathan Wise, Chief Technology Architect at CESMII (Smart Manufacturing Institute).

We discussed how you can modernize your industrial data architecture to harness the full potential of AI, enhancing both production efficiency and innovation.

Jonathan highlighted three key pillars essential for AI readiness:

Data Accessibility - You can’t train AI without accessible data. Jonathan explains why ensuring your data flows seamlessly across systems is the first critical step.

Data Contextualization - Simply having data isn’t enough. Meaningful, contextualized data is crucial for any AI project to deliver accurate and actionable insights.

Data Relationships - It’s not just about isolated data points. AI thrives on the connections between data points, much like how your operations depend on the synergy between suppliers and internal systems.

Listen to the episode to learn more.