iBase-t Experts

As new digital marketplaces continue to evolve and expand, there is a risk of being left behind if investments are not made today to be part of this ecosystem. Fortunately, an industry ecosystem can be readily established that is valuable to customers and end users. Continue reading to learn about first steps.

Continue reading to see how existing digital platforms provided by the tech giants could be a potential threat to the spare parts business that many Aerospace & Defense manufacturers have come to rely upon as part of their business model. This post will explore the merit of this prediction and what steps can be taken to minimize this threat as part of a digital transformation strategy.

As manufacturers are busy digitizing operations and processes, it can be beneficial to learn from those that have gone before down this road. By doing so, traditional manufacturers and supply chain providers can learn from history to better navigate this point of transition in their industry.

Successful Venture Capitalists have one thing in common – they know how to effectively manage risk. Given the challenges and risks associated with implementing a Manufacturing Execution System (MES), perhaps manufacturers can learn from this community and reduce the risk of failure in an MES deployment?

The Industrial Internet Consortium (IIC) has released new standards for the Industrial Internet of Things (IIoT) designed to provide a connectivity framework that can be held in common by IT companies, manufactures and providers of operational technology (OT).

The most advanced know that a powerful ecosystem of alliance partners, including market leader Accenture working with software technology innovators like iBase-t, can team together to provide an operational architecture capable of supporting the most demanding complex manufacturing enterprise.

LNS Research analyst Matthew Littlefield recently wrote a blog on the digital transformation at Lockheed Martin. Its F-35 fighter jet program is a good example of how to use digitization to align technology adoption with strategic objectives.

In this blog, AR becomes the topic of discussion. AR is no longer a distant, sci-fi dream. This technology is already flooding onto the shop floor and into field service. It overlays virtual objects on top of the real world to aid the user in terms of understanding, perception or action.

Human-centered engineering models are labor intensive and require constant verification, rework and re-keying. By adding digitization and AI into the mix, it is possible to transform the old model into an automated system that facilitates continuous operational learning and productivity gains that exceed existing approaches.