Industries have benefitted greatly from IoT devices over the past decade or so. Manufacturing industry professionals have gained everything from automated gateway connectivity to powerful sensors. Yet technology never stands still. Developments and new processes are always being introduced, refined, and incorporated into current strategies.
This is the case with artificial intelligence (AI) and how it is being combined with IoT. This partnership has led to a notable advancement in one field: autonomous data collection analysis.
Autonomous Data Collection Analysis With IoT and AI
IoT devices have long been beneficial when it comes to gathering large amounts of data that are taken from multiple sources. Yet when IoT is operating on its own, there is one problem: trying to process and analyse this giant slice of data is a complex problem. That is why companies are increasingly turning to AI for a helping hand.
Combining IoT devices with AI effectively solves the problem of dealing with large data. This is because an intelligent ecosystem can be created with AI-powered IoT. With this ecosystem, less human intervention is required. Instead, this combination is capable of collecting data, analysing it, and learning from the information it contains.
There are five basic steps every IoT device follows: create, communicate, aggregate, analyse, and act. The most vital of those five steps is analysis. Yet in the case of data collection analysis, help is needed and that’s where AI comes in. With AI analysing the data, the process can then move on for IoT to determine and complete the action.
How AI Combining With IoT is Revolutionising the Manufacturing Industry
Ask an industrial computing provider like Things Embedded about AI’s influence over the manufacturing industry, and they will tell you how prevalent it has become when designing bespoke systems. Ultimately, a lot of manufacturers want – and even need – to leverage this technology to improve their operations. The right AI-powered IoT implementation can reduce costs, enhance scalability, improve risk management, and raise operational efficiency.
Returning to their roles in autonomous data collection analysis, this is one of the major ways AI and IoT can revolutionise the manufacturing industry. IoT devices bring in constant data streams, and these, in turn, are analysed by the AI. The AI (operating autonomously with no human input) can then analyse patterns. By doing so, it is able to spot potential inefficiencies and anomalies that are present.
Of course, it doesn’t just spot these errors and do nothing with the information uncovered. Actionable insights are provided to companies, giving them the power to change processes effectively. These AI-backed refinements can also help with other aspects, like time-consuming functions and factors that impact efficiency levels.
Make no mistake: the manufacturing industry is progressing thanks to AI-powered IoT technology. For manufacturers that haven’t yet adopted AI-powered IoT, it is time for them to change that situation – and fast. By using this innovative technology combination, a business is able to improve its processes across the board and regain a competitive edge.