Artificial Intelligence (AI) technology makes workers/operators/manpower redundant? That is a MYTH that has ridden the hype cycle for too long, and it’s time we take it down for good. Mainstream adoption of Industrial AI has accelerated and hit the Plateau of Productivity. Read to find out why AI tech is now clearly defined as workforce friendly.
Industrial “Net Zero” CO2 emission is an ambitious target. It’s one thing to talk about it, and it’s another thing entirely to make it a reality. But AI apps and data-driven decision-making can move decarbonization from just remaining topics of boardroom discussions to control tower actions. Read to learn how!
An organization is only as agile as its employees. The greater the turnover, the higher the need for increased efficiency. Artificial intelligence has only helped augment human intelligence to achieve these goals. Read to find out how our AI apps assist learning and decision-making on the shop floor, thus enhancing organizational performance.
The Gold Rush Mentality means having an astute sense of what innovation can lead you to profits. The Gold Rush boosted industrialization and triggered economic growth dramatically in the 19th century. Are you a part of it this time around—the Gold Rush that IR4 technologies have heralded? Read how the Pharma industry is striking rich with our Golden Production Run AI App.
IR4 has strengthened the belief that artificial intelligence (AI) can indeed “solve” complex industrial scheduling problems. Here we talk about a use case where one of the largest European Active Pharmaceutical Ingredient (API) manufacturers utilized the Bodhee Production Scheduler to optimize production performance.
“Eureka!” yelled Archimedes and went down in history as the greatest mathematician of antiquity for making that one phenomenal discovery. It also takes just one phenomenal AI/ML strategy to discover the exact critical parameters causing quality deviations in the assembly line. Here’s a real-world story of how Bodhee® Predictive Quality App and machine learning (ML) algorithms streamlined the production for a multinational aerospace corporation.