“In God we trust, all others bring data.” William Edwards DemingIn this article, we show the importance of interference between Machine Learning, Data Engineering, and Agriculture. The main problems that farmers face on an everyday basis, such as climate changes, manual time-consuming tasks, and changes in consumers’ everyday dietary are presented in the article. Along […]
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In recent years, machine learning has become one of the most promising technologies. And while it’s often associated with consumer applications like smartphone personal assistants and social media recommendations, its potential extends far beyond that. Agriculture is a great example of the sector where machine learning and AI are beginning to make a real impact, […]
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Manufacturing is poised to play a critical role in shaping the economy for the next decade and beyond. The opportunities are endless if the advanced manufacturing industry can strengthen its innovation vision and embrace the reality of end-market disruption, but there are some challenges too. When you talk about the specific challenges for small and […]
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By now, the positive impact of digitalization in manufacturing environments is widely recognized — reduced costs, improved operational efficiency and greater productivity. But digitalization is not fulfilled by making just a single change. It is a continuous cycle of updates and improvements. To really thrive in this era, manufacturers must look at how Industry 4.0 […]
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What is Ensemble Modeling? Ensemble Modeling is a technique used to improve the results of Machine Learning projects. This Ensemble Modeling technique allows to obtain a better predictive performance compared to the models from which it is made up, thanks to a series of ensemble methods that use multiple models. Examples of Ensemble Modeling technique […]
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We live in a world of increasingly smart and interconnected devices. From power grids to industrial control systems and vehicle fleets, IIoT devices are proliferating. Recent estimates project that there will be well over 24 billion IoT devices within the next four years, and this abundance of devices will generate a tsunami of data. How […]
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Deep Learning, which is based on the use of neural networks, can be applied to very different types of information, which call for the use of particular networks better suited to achieving specific objectives. What are Artificial Neural Networks (ANN)? The Artificial Neural Networks (ANN), on which Deep Learning is based, are computational models that […]
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Network operators around the world have invested heavily in spectrum, with auctions exceeding $27 billion in 2020 according to the Global Mobile Suppliers Association. They are looking to move quickly with 5G, seeking solutions to help them develop services faster for specific verticals such as the Industrial Internet of Things (IIoT). There is a lot […]
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Artificial Intelligence (AI) and Machine Learning (ML), are huge contributors in these advances and have revolutionized the way that software operates and functions for the manufacturing industry. AI and Machine Learning in ERP Systems Artificial Intelligence and Machine Learning have drastically enhanced ERP software in the following ways: 1. Simplifying Immense Data One of the […]
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According to Gartner, 85% of Machine Learning (ML) projects fail. Worse yet, the research company predicts that this trend will continue through 2022. Does this point to some weakness in ML itself? No, it points to weaknesses in the way it’s applied to projects. There are many predictable ways that ML projects fail, which can […]
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The Internet of Things (IoT) is creating a new dynamic in the industrial space, specifically manufacturing. Large manufacturing companies are moving to leverage IoT technologies and predictive analytics as a part of increasing profitability and staying competitive. In the U.S. alone, existing capital stock worth over $6.8 trillion dollars is being fitted with sensors to […]
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Sensor data plays a vital role in ensuring operational safety and efficiency in industrial operations. Sensors are deployed widely in industrial settings to measure parameters such as temperature, pressure, flow, vibration and others. The data that flows from these sensors give operators an important window into the physical states of the facility’s assets. Developments in […]
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