Our last blog focused on understanding the various types of Artificial Intelligence. Some of them are already present in multiple services and products we use, while some of them are still decades away from materializing. Continuing in the AI series, we shall now look at some of the significant AI applications in manufacturing today. What are the different challenges manufacturers are trying to address using AI? And how are they benefiting? Let’s try and answer these questions. Predictive maintenance: Downtime and accidents are huge contributors to low production efficiency. Manufacturers can utilize AI to forecast when or if equipment shall fail and, accordingly, schedule maintenance activities. Such predictive analysis saves…
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IoT and The World of Autonomous Material Handling
In the last blog, we glimpsed into how the Internet of Things revolutionizes businesses and, ultimately, our lives. Connecting every possible physical object on the shop-floor to the internet via sensors leads to the generation of a massive amount of insightful data. Data that can be used to make processes more efficient, reduce costs and, increase output. IoT brings together data-acquiring sensors, internet, cloud computing, and analytics capabilities to deliver real-time information to business leaders to make effective smart decisions. We ask, what if the power of IoT can be used to improve the design and usage of autonomous material handling equipment like AGVs and AMRs? Read on to see…
