Looking for examples of how to apply machine learning to solve real business challenges? Here’s an example of how one oil & gas company uses machine learning to get insights from high volumes of well data to optimize production and equipment performance.
In the fashion world, new designs and speed to market are the key drivers for success. As the industry invests more in material innovation technologies, an emerging area with high-value potential is material exchange. Here are 7 reasons to invest now.
How can medical device manufacturers leverage insights from PLM data to remain competitive? Here's the story of one manufacturer and how they drove measurable business results with machine learning.
It is time for leading semiconductor firms to pave the way with the next generation of digital technologies by creating a more comprehensive digital twin.
As the global demand for oil rises, the US shale industry can leverage smart connected operations – enabled by digital technologies – to deliver operational excellence in field operations. Here's an example.
Smart factories, enabled by digital technologies and concepts, may not be as futuristic as you think. Need inspiration to get started? Here's our UPDATED vision of the factory of the future, and the people and processes that will be impacted.
Protecting devices in the field requires an innovative approach to comprehensive information security. Here are nine security strategies to help mitigate risks while building a culture that enables innovation, compliance and operational effectiveness.
This blog demonstrates how the collaborative environment between PLM, ERP and MES helps ensure that a product conform to its specifications.
Leading practices for managing equipment and facilities controls within ERP and MES - inside the scope of PLM.
Medical device manufacturers must maintain a uniform system that tracks materials and suppliers for quality purposes. Here's how PLM - ERP - MES collaboration supports this need.