Summary
Michigan has a choice to make. We can look at the rise of artificial intelligence, cloud computing and data centers as something happening to us, or we can decide Michigan will help shape what comes next.
-Automation Alley CEO Tom Kelly in Crain’s Detroit Business
Read the op-ed in full here.
The academic sector is essential for equipping the future workforce to shape how dataand industrial intelligence are developed, trusted, and implemented in manufacturing.It is crucial for learning institutions to connect their research, curriculum, andpartnerships to...
Manufacturing has become the most data-intensive industry in the global economy. Factories generate massive streams of information from machines, sensors, inspection systems, supply chains and workforce activity. Industry estimates suggest manufacturing produces...
Like shipping containers, software containers package apps to run consistently anywhere. Containerization is well-established in IT and is now gaining traction in OT (industrial) deployments to bundle an application and its dependencies into a single package...
Academic institutions are urged to align curricula with industrial intelligence needs by integrating data, AI, and real-world applications to better prepare graduates for evolving manufacturing challenges.
Manufacturers are shifting from data collection to industrial intelligence by integrating analytics, connectivity, and AI to overcome operational complexity and unlock real-time decision-making.
Rockwell Automation explains how containerized deployments with FactoryTalk Optix can help manufacturers reduce environment drift and standardize OT rollouts across machines, edge systems, and cloud environments for more repeatable updates.
