FEATURE


Automation & AI


Turning raw unstructured industrial data into structured AI- ready data is no easy feat, but manufacturers that successfully do so will be able to ensure AI delivers accurate, real-time insights


business analysts, can work and collaborate using the same system. But that’s not all. Through enabling machine learning, business intelligence and predictive analysis, data lakehouses can store data cheaply while enforcing structure to foster collaboration and speed up analysis. Step 6: Every second counts on the factory


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Data loses value if it arrives late. For example, if a crucial machine overheats or malfunctions in a factory, it needs to  maintenance to be actioned. Real-time streaming technologies process sensor data the moment it’s generated, enabling immediate action when issues  fault detection can spot anomalies in machine temperature or vibration, while live dashboards give operators instant visibility into throughput and quality. The result? Faster response times, fewer disruptions and smarter adjustments reduce downtime,


 Step 7: The hybrid pathway to smart factories – from edge to the cloud In today’s modern manufacturing industry, many data architectures process all data following an edge-to-cloud model. Edge computing devices in the factory handle the here-and-now tasks such as local inference  noise and cloud computing devices, large- scale analytics, historical data analysis and advanced AI model training. This hybrid model gives manufacturers low latency at the edge and the ability to tap into the vast quantities of data in the cloud systems. The predictive maintenance aspect of the


manufacturing digital transformation journey      maintenance can reduce maintenance costs by 10 to 40% and downtime by 50% and increase     


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