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10 ways the oil and gas industry can leverage digital twin technology

IBM Big Data Hub

In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. And the increasing adoption of technologies like artificial intelligence (AI), machine learning and IoT will only further enhance the capabilities of digital twins. The use of digital twins is one such innovation.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

The oil and gas industry remains an integral part of the energy landscape, but it faces a number of modern challenges, including volatile market conditions, expanding environmental regulations and the growing need for operational efficiency. But the future of EAM in the oil and gas industry is not just about adopting new technologies.

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Digital twin vs digital thread: Two complementary ways to digitally replicate assets

IBM Big Data Hub

For example, a digital twin of a wind turbine can simulate the impact of changing wind speed and direction on the turbine’s performance, helping operators make informed decisions about maintenance and energy production. Explore how digital twins can optimize the performance of your assets in a sustainable way What is a digital thread?

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How to choose the best enterprise asset management software

IBM Big Data Hub

EAMs optimize the quality and utilization of physical assets throughout their lifecycle, increase productive uptime and reduce operational costs. Condition monitoring: Utilize condition-monitoring techniques to collect real-time data on asset performance. Compliance adherence minimizes legal risks and ensures asset integrity.

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10 manufacturing trends that are changing the industry

IBM Big Data Hub

It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes. To find out how, book a live demo with an IBM expert The post 10 manufacturing trends that are changing the industry appeared first on IBM Blog.