Why use RBF Learning rather than Deep Learning in an industrial environment
· Artificial Intelligence & ML

Why use RBF Learning rather than Deep Learning in an industrial environment

One of today’s most overused buzzword is “Artificial Intelligence”. Both technical and general press is full of articles talking about machines that drive autonomous cars and invent new languages. Many also talk about intelligent machines being a threat to humanity. Machine Learning is an essential part of the AI puzzle and Deep Learning is one […]

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The predictive power of big data analytics in the IIoT era
· Predictive Analytics

The predictive power of big data analytics in the IIoT era

Fatal flaw of predictive IIoT analytics Most predictive analytics suffer from a fatal flaw: they are confined to historical views. Analysts try everything from machine learning (ML) to traditional forecasting to flashy BI dashboards and visualizations in attempts to estimate details about the future of complex business operations: The predictions fail. A wake does not […]

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If AI has the power to transform all industries, why hasn’t it?
· Artificial Intelligence

If AI has the power to transform all industries, why hasn’t it?

There is a ton of noise about AI for industry today. A quick search on Google for “Artificial Intelligence” returned 82M results and almost 4M news stories. Bloomberg reported in June that mentions of AI in earnings transcripts has risen from less than 60 in 2016 to over 250 in just Q1 of this year! […]

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Changing a Lightbulb with a Hammer: Predictive Analytics with Machine Learning
· Predictive Analytics

Changing a Lightbulb with a Hammer: Predictive Analytics with Machine Learning

Machine Learning (ML) isn’t so mystical after all. Machine Learning is a new term that re-packages well-established statistical techniques that have been around for decades. Machine Learning reacts to new information by learning. The “learning” happens by observing the past—sometimes the very recent past. Machine Learning can deliver on the promise of self-adjusting algorithms that […]

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Machine Learning Challenges in the implementation of Industrial Internet of Things
· Artificial Intelligence

Machine Learning Challenges in the implementation of Industrial Internet of Things

We are living in the era of 4th Industrial revolution – the evolution which is based on extreme automation of machine to machine communication, not only just the communication but way beyond. Machines can understand each other, negotiate with each other, sign and execute the contracts with each other. They can predict each other’s behavior, […]

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The right representation of Digital Twins for Data Analytics
· Digital Disruption

The right representation of Digital Twins for Data Analytics

What are digital twins? Digital twins are digital representations of physical objects. In simple cases, sensors for example, the digital representations may be trivial (e.g., current values for temperature, RPMs, etc.). More interesting cases involve complex, and usually expensive, capital assets such as diesel engines, turbines, and heavy duty mining and construction equipment. In these […]

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IoT Decision Framework: Factors & Challenges
· Connected Industry

IoT Decision Framework: Factors & Challenges

Internet of Things(IoT) – A new revolution that is going to be the core backbone of business in the years to come. Industry is getting ready to adopt this massive change that is likely to hit it sooner than later. As per a recent survey[1]  96% of the senior business leaders have plan to use […]

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