The industrial Internet of Things (IoT) connects to your devices to gather data and generate solutions for your machines, including decreasing downtime, increasing revenue and aiding in spectacular customer service optimizations. With the addition of artificial intelligence and machine learning, your industrial IoT solution can go beyond the basics, adding even more value to your machines and outputs. But what exactly are AI and ML and how do they help with industrial IoT and your manufacturing goals? Let’s dive a little deeper.
Artificial Intelligence and Machine Learning manufacturing
Artificial Intelligence (AI) and Machine Learning (ML) are more than just technological buzzwords. They’re powerful computing tools. To put it simply, AI analyzes data and creates forecasts. Machine learning is a subset of AI that enables a machines to automatically improve at tasks with experience. For a more comprehensive explanation, check out this blog post.
So how do AI and ML relate to industries and manufacturing?
By adding AI and ML to your IIoT solution, you can unlock powerful tools such as:
Increased Overall Equipment Effectiveness (OEE) By implementing AI/ML, you can improve your OEE by increasing throughput, reducing downtime, and improving quality.
Anomaly Detection With the power of AI/ML and analytics, you can easily detect anomalies in your data. AI/ML make it much easier to see things before issues arise.
Reduced Downtime This anomaly detection ultimately lends itself to reduced downtime. Prescriptive maintenance, remote conditioning and remote monitoring, all leveraging AI/ML, can also add to reduced downtime, which means your equipment is online and working, thus increasing productivity and revenue.
These are only a few of the ways leveraging AI and ML with the IIoT may be the solution for you. And with a solution like MindSphere, you won’t even need a data scientist on your team to analyze all of the data coming from your machines.
MindSphere and AI and ML
MindSphere, the industrial IoT as a service solution from Siemens, provides you with AI and ML capabilities, like AI for Everyone, allowing anyone in your company the ability to leverage AI and ML solutions—data scientists need not apply.
Interested in learning more about AI and ML from an industry standpoint? Read this brief from Lifecycle Insights, The role of AI and machine learning in manufacturing, and see why the manufacturers they’ve spoken to are starting digitalization initiatives. In this brief you’ll learn more about the challenges industries face, and the solutions you can leverage from the industrial IoT in combination with AI and machine learning.
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