Why a closed loop is key for machine learning
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
Ensemble Modeling: How to Improve Machine Learning
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
Boosting Streaming Analytics with Machine Learning for Deeper Insights
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
Neural networks, types and applications
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
IIoT Gets A 5G Boost of Machine Learning Innovation
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
Artificial Intelligence and Machine Learning Enhance ERP Software
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
Why 85% of Machine Learning Projects Fail – How to Avoid This
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
How to Increase Profitability in Manufacturing using Machine Learning
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,
Leveraging Machine Learning to Manage Operational Risks in Industrial Operations
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