Over the past 10 years we’ve watched cloud computing come of age as more and more companies send their data to the cloud for processing, storage, and management rather than keeping that data on a local server or Edge gateway. The benefits of cloud computing are vast, however there is another key development on the […]
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It is real, but it’s difficult to say how long it will take. It will surely take many years to fully realize, but is already happening faster than many expected. This blog presents some of key digital transformation trends in manufacturing ARC tracks in 2018. Advanced Analytics and Machine Learning The most noticeable and probably […]
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Everyone in, and serving, manufacturing businesses has encountered terms such as Industry 4.0, Digital Transformation, and Smart Factory. Small compute footprints, low-cost, high-availability communication systems, high-capacity–low-cost memory, rapidly evolving sensor technology, and new time-series data structures supporting real-time analytics are all conspiring to empower industrial operators to transform their businesses from “tribal knowledge systems” to […]
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In my earlier article, we talked about the usage of machine learning algorithms in autonomous cars. Obviously, the process of training algorithms for autonomous cars, learning and implementation of machine learning is not without a huge set of challenges. Challenges in autonomous vehicle training: In this article we will talk about the challenges in training data […]
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The next industrial revolution is here. Whether you call it Industry 4.0 or Industrial IoT or Digital Transformation, the increased access to machine and operational data, proliferation of two-way communication, speed of data flow, combined with the lower cost of computing, connectivity and storage has created the perfect environment to transform industrial operations. The time […]
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Data generated by manufacturing or process operations, especially time series data, is very rich in information that can provide actionable insights on the current and future health of the production systems and the products they create. As companies start to digitize their industrial operations, they are learning that they are rich in operational data but poor in the […]
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The cloud has transformed how we use technology. Of that there is no doubt. But as we have grown attuned to it for the IoT market, complexities arose. Once we moved past the exciting unicorn cases, practical issues reared their head. This has helped bring a renewed interest for the edge, where ever-more adept devices […]
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The compelling nature of today’s highly-polished BI and advanced visualizations inflates the credibility of conclusions that appear to be supported by big data analyses. After all, if we can manage to collect and properly condition volumes of data, in varied forms, at a rapid pace, in the face of uncertainty, then the end result must […]
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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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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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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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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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