U.S. Air Force to use AI and augmented reality based connected worker technology from Augmentir to improve the productivity and efficiency of their maintenance workforce
HORSHAM, PA -- Augmentir, Inc., the world's only provider of artificial intelligence-based connected worker software, announced today that it has been awarded an AFWERX Phase II Small Business Innovation Research ("SBIR") contract from the US Air Force Research Laboratory (AFRL).
How to Gain Timely and Accurate Data Insights to Optimize Asset Performance and Reliability
Data-driven decisions are those backed up by hard evidence; reliable and trustworthy data, rather than intuition, gut instinct, or guesswork. However, the abundance of data that is generated from Industrial Internet of Things (IIoT) devices and multiple siloed sources makes it difficult to analyze. The worst thing that can happen is that critical data is missing, remains hidden, or is incorrect. So, how do you know you have the correct information to make the right decision at the right time?
As a new Maximo user group formed under the Maximo® Utility Working Group (MUCG.Org), Mobile User Group for Maximo (MUGM) presents a case study of the implementation process of the Everyplace mobile functions included in Maximo 7.6.1.1 used by Medtronic.
Aaron Hermes of Interloc speaks about the effort and excellence that went into winning the 2021 MaximoWorld Award for Mobility. Also, they discuss the success of MaximoWorld and how getting
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The ways of working for plant maintenance and reliability practitioners are beginning to change and will probably radically change over the coming years. The fundamental question is: What will it change to?
Designing for reliable sustainable assets is paramount in any capital project, yet most projects forgo design for reliability (DfR) and follow a typical asset lifecycle approach without much attention to design-related defects and how they impact maintainability, operability, reliability, energy (MORE), etc.
The 4th Industrial Revolution has been hailed by many as the silver bullet that will usher in this new era of productivity and value creation. While in principle, this is a reachable premise, what gets lost in translation is that the transition of the manufacturing ecosystem from one era to the next has historically been disruptive and messy.
Patricia Douglas and Robert Cockrill from Leidos Antarctic Support Contract (ACS) won a MaximoWorld Award for Best Mobility Program. Learn about the challenges of leading a successful mobile
Machine learning technology can now predict equipment failures weeks in advance. But once you know a major failure is imminent, what next? How do you decide when and how to perform the repair to maximize productivity and minimize risk? Maintenance wants to carry out the repair quickly in the safest, most well-planned way. Operations wants to maintain production and is resistant to shut down until necessary. Planning and scheduling seek to assure timely product deliveries to
Augmented Reality (AR) is reshaping how frontline employees acquire knowledge and digitally interact with their physical surroundings, resulting in faster execution, less manual processes and better decision making.
Among all of the global challenges we faced and solved during the year 2020, there is one that will stand out in our industry and will forever change the way we manufacture our products. Breakdowns used to dominate our industry severely and negatively affecting output (GNP).
Asset reliability and process professionals face an enormous challenge to tame the tsunami of data and turn it into useful information. With the advent of cheap IIoT devices, sensor data is growing 50 times faster than business data with only 2 percent of it actually being used!