Breaking Down Data Silos: Why Smart Manufacturing Needs Standardization

3 Big Takeaways from this episode:

1. Data architectures have to evolve from disparate silos to standardized platforms that can all work together on the shop floor: For decades, manufacturing has innovated one use case at a time, plant by plant. Now, each digital solution is vendor-specific and poses a major challenge to companies trying to create a single, cohesive data strategy. John shares how hundreds of organizations are currently working on creating standards to enable data to flow seamlessly in manufacturing operations.
2. Standardization will democratize smart manufacturing in the U.S.: If manufacturing can devise an open-source, interoperable language and architecture for data which will enable any new software and hardware to work together, then small and midsize businesses have a chance at digital transformation. Not only will standardization democratize smart manufacturing on the enterprise level, it will also enable individual workers on the plant floor to be successful around data-driven systems without needing a degree in data science.
3. The U.S. needs to adopt a smart manufacturing mindset: In the same way as quality, safety and continuous improvement became an ingrained part of manufacturing culture decades ago, a smart manufacturing mindset has to become part of the DNA of every American manufacturer. This means having a data-driven mindset for business decisions, for thinking about the way workers do their tasks, etc.