The Impact of AI and Machine Learning Technologies in Manufacturing
New data- and ML-based business models will become more commonplace, so early adopters will have a competitive advantage. Machine learning will happen both in the cloud and on the edge, i.e., directly on or next to production machines and sensors.
Enhancing Predictive Maintenance with Machine Learning
There are a number of ways to maintain industrial machinery. If you search around, you will most likely come across these terms: preventive maintenance and predictive maintenance.
The Next Era of Automation Is Intelligence
We are entering a new manufacturing era defined by AI, machine learning and vision, enabling us to teach machines to adapt and learn plans and move us toward a true "Lot Size 1" utopia. Automation's next era will be defined not around volume, but around intelligence.
How To Improve Production With Autonomous Maintenance
Autonomous Maintenance is one of eight pillars that make up Total Productive Maintenance (TPM). It's also one of the most important activities that eventually determine the success of any TPM implementation project.
A Sustainability Process That Drives Business Value
Iota has developed a framework called the Sustainability Process Blueprint that allows businesses to easily monitor, measure, and curate data pertaining to their sustainability performance.
What Machine Learning Trends Can We Expect for Manufacturing in 2020?
Industry 4.0, or the fourth industrial revolution, has called for a merger between automated solutions and smarter, more effective operations through the application of real-time data collection.
Top Article from 2019 - What Machine Learning Can Do for Manufacturing
Machine learning and big data are both very difficult, in practically every way. The necessary data science skills are rare among industry professionals, the data volumes are immense, and the infrastructure required to work on that data is complex.
Predictive Analytics vs Machine Learning
Machine learning is a continuance of the perceptions around predictive analytics, except that the AI system is able to make assumptions, test them and learn autonomously.
6 Ways Machine Learning is Revolutionizing Manufacturing in 2019
The proven impact of machine learning models has pushed more investment toward their development. Still there are plenty more gains to be realized.
How Adopting Machine Learning Will Redefine The Future Of ERP System?
Every great business has well thought of goals and strategies for the future. Thanks to the AI in your ERP (Enterprise Resource Planning) systems) it will help your users identify "next best actions"
3 Revolutionary Advances in IoT Machine Learning
Manuel Nau for IoT Business News: Oracle is taking the IoT to a new level with the announcement that its IoT cloud service will now incorporate artificial intelligence and machine learning to provide clients with better business data insights than ever.
6 machine learning misunderstandings
Ryan Francis for NetworkWorld: Machine learning isn’t confined to science fiction movie plots anymore; it’s fueled the proliferation of technologies that touch our everyday lives, including voice recognition with Siri or Alexa, Facebook auto-tagging photos and recommendations from Amazon and Spotify. And many enterprises are eager to leverage machine learning algorithms to increase the efficiency of their network. In fact, some are already using it to enhance their threat detection and optimize wide area networks.
As with any technology, machine learning could wreak havoc on a network if improperly implemented. Before embracing this technology, enterprises should be aware of the ways machine learning can fall flat to avoid setting back their operations and turning the c-suite away from implementing this technology. Roman Sinayev, security intelligence software engineer at Juniper Networks, cites ways to avoid the top machine learning missteps. Cont'd...
10 Ways Machine Learning Is Revolutionizing Manufacturing
Louis Columbus for Forbes: Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production.
Machine learning’s core technologies align well with the complex problems manufacturers face daily. From striving to keep supply chains operating efficiently to producing customized, built- to-order products on time, machine learning algorithms have the potential to bring greater predictive accuracy to every phase of production. Many of the algorithms being developed are iterative, designed to learn continually and seek optimized outcomes. These algorithms iterate in milliseconds, enabling manufacturers to seek optimized outcomes in minutes versus months.
The ten ways machine learning is revolutionizing manufacturing include the following:
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Featured Product
FLIR Si1-LD - Industrial Acoustic Imaging Camera for Compressed Air Leak Detection
The FLIR Si1-LD is an easy-to-use acoustic imaging camera for locating and quantifying pressurized leaks in compressed air systems. This lightweight, one-handed camera is designed to help maintenance, manufacturing, and engineering professionals identify air leaks faster than with traditional methods. Built with a carefully constructed array of MEMS microphones for high sensitivity, the Si1-LD produces a precise acoustic image that visually displays ultrasonic information, even in loud, industrial environments. The acoustic image is overlaid in real time on a digital image, allowing you to accurately pinpoint the source of the sound, with onboard analytics which quantify the losses being incurred. The Si1-LD features a plugin that enables you to import acoustic images to FLIR Thermal Studio suite for offline editing, analysis, and advanced report creation. Field analysis and reporting can also be done using the FLIR Acoustic Camera Viewer cloud service. Transferring of images can be managed via memory stick or USB data cable. Through a regular maintenance routine, the FLIR Si1-LD can help facilities reduce their environmental impact and save money on utility bills.
Manufacturing and Automation - Featured Company
CSP US Inc.
As a software manufacturer, CSP GmbH & Co. KG offers its customers bespoke solutions for the discrete manufacturing applications. This makes it easy to secure and document the quality of production processes - from development to delivery!
