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IIoT

Establishing a Digital Connection Between Industrial Machines
July 12, 2023
Examining the history — and understanding the future — of the Industrial Internet of Things to create a smart manufacturing environment.
igus i.Sense EC.B Cable Sensor for e-chains Allows For Greater Long Distance Safety
September 22, 2022
igus®, has introduced the i.Sense EC.B – a smart condition monitoring system for breakage detection on e-chain® cable carriers over 35 meters. In the case of a break, the i.Sense EC.B system will immediately trigger a signal making...
SME and Plataine Industrial IoT Study Finds 3x Increase in Industry 4.0 Adoption
August 13, 2020
Joint survey reveals manufacturers embracing digital manufacturing even before COVID.
FANUC America Partners With TITANS of CNC to Help Bridge the Skills Gap
March 12, 2020
The education platform offers students the support, education and training to help prepare them for careers in high-tech manufacturing.
IoT World 2018: Devices without Data are Dead
May 18, 2018
LIVE Online Panel Discussion: Defining Digital Twins
November 3, 2017
Industrial Internet Consortium (IIC) Testbed Advances Smart Factory Predictive Maintenance
October 26, 2017
Predictive maintenance, one of the most widely hyped Internet of Things (IoT) use cases, is getting a boost thanks to a testbed conducted by the IIC and its partners, which aims to advance availability and uptime for high-volume manufacturing.
GE Bets On IIoT with Brilliant Factories
October 16, 2017
Sensors Expo 2017: The Little Things at the Heart of IoT
July 7, 2017
Speakers and audience explore the intersection of Sensors, AI, and IoT technologies at Sensors Expo 2017, discusses AR-VR market size & opportunities
IoT World 2017: Hungry for Data, Learning from AI, Learning to Read Emotions
May 25, 2017
LIVE Roundtable: Breathing Life into Digital Twins
March 2, 2017
Test bed To Be Ground Zero for IIoT Predictive Maintenance Applications
November 17, 2016
Using the test bed technology from NI, IBM and SparkCognition, organizations would gain proactive intelligence into possible component failures before they happen.


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