Can Machine Learning Turn Big Data into No Big Deal?

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With technology moving so fast, new ways to automate, and connected machines, how can managers and engineers simplify the complexity of that ecosystem? Is machine learning (ML) or artificial intelligence (AI) the key? This article will define some buzzwords, what they mean, and if they might help simplify these complex technologies so that you can move back into production. New technologies, such as Big Data and the Industrial Internet of Things, are gaining more traction. While security is a concern, some companies push ahead because the benefits are too great.


Can Machine Learning Turn Big Data into No Big Deal?

#artificialintelligence

With technology moving so fast, new ways to automate, and connected machines, how can managers and engineers simplify the complexity of that ecosystem? Is machine learning (ML) or artificial intelligence (AI) the key? This article will define some buzzwords, what they mean, and if they might help simplify these complex technologies so that you can move back into production. New technologies, such as Big Data and the Industrial Internet of Things, are gaining more traction. While security is a concern, some companies push ahead because the benefits are too great.


Artificial Intelligence in Manufacturing: The Evolution of Industry - CiOL

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Artificial Intelligence is benefiting to various industries including healthcare, education and manufacturing. But what is Artificial intelligence (AI)? In Layman language, a simulator of human intelligence, which makes the decision after analyzing various data utilizing a collection of different intelligent technologies including machine and deep learning, analytics and computer vision. The fourth industrial revolution is employing AI to enhance its overall efficiency. The technology is not only helping to reduce manufacturing cost as well as it is improving productivity and quality. Manufacturing is a capital-intensive process, and once a plant is a set-up, replacing, removing or renovating is exorbitantly expensive. New machines improve performance; reduce redundancies, while improving overall quality metrics. AI is proving an alternative route to achieve all this and at extremely competitive price points. Instead of now replacing machines, manufacturers are adding AI/ML tools to pre-inspect raw materials identify defects, perform quality evaluations, and a lot more.


These Trends Are Shaping the Industrial IoT

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Sensors, controls, and network connectivity are now economically viable for ordinary products, not just high-value products. Every "thing" with an on-off switch can be reimagined as a smart, connected device. IoT assumes that analysis of sensor data streams, not direct display, is more useful and cost-effective. The "thing"--say, a machine--is connected to the internet so that its sensor readings and their results after analysis can be accessed by any other authorized internet-connected device. This can be a smartphone or tablet on the other side of the world, or an AI system learning how to operate the machine.


What's the Difference Between AI and Machine Learning?

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Buzzwords can help get a lot of attention on the web. But while these SEO keywords might help people find what they are looking for, they may also add fluff and garbage to searches. Add artificial intelligence (AI), machine learning, neural networks, and deep learning into the mix, and it can be confusing to keep up with which is which. AI: Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans. AI has had some success in limited, or simplified, domains (Courtesy of AlanTuring.net).