STEM & YOU

Business internet is becoming a resilience layer. When connectivity is essential to serving customers and adapting to change, the quality of the decision shows up in how easily the business keeps operating.

AI can warn a maintenance team that a machine may fail, but McKinsey argues that the opportunity lies in what the organization does next. A prediction is useful when it changes how maintenance is planned and carried out. That requires more than a model. Microblog by @antgrasso Suppose a warning arrives days before a possible breakdown. The repair still waits because the schedule has not changed or the required part is unavailable. The model has supplied information that the process cannot yet use. Who can act on that warning while there is still time? McKinsey estimates potential cost reductions and additional uptime across asset-heavy industries. Its analysis emphasizes redesigning the maintenance process so that insights can influence decisions and lead to timely interventions. I would put maintenance teams at the center of that redesign, giving them access to information while they are planning work and enough authority to adjust priorities. #IndustrialAI #Maintenance

A connected factory without control is just a faster way to make mistakes. When machines share live data, every signal can affect production, so automation needs purpose, reliable data, and clear human responsibility. Microblog by @antgrasso about #SmartManufacturing #IoT The point is simple: connecting machines does not automatically make a factory smarter. A connection is useful when it helps production work better, improves maintenance, or makes the process safer. Data is where many problems start. If sensor data is wrong, late, or poorly protected, automated systems can act with confidence on bad information. In a factory, that can affect quality and safety very quickly. Security also needs to move closer to the shop floor. Remote access, controllers, and industrial networks are no longer background infrastructure. They are part of the production system. This is why IT and OT cannot work as separate worlds. Connected production needs shared rules and visible responsibility, so people can understand who owns the data, who controls the process, and how automated decisions are checked.