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Will generative AI make the digital twin promise real in the energy and utilities industry?

IBM Big Data Hub

Generative AI and digital twin use cases in asset-intensive industries Various use cases come into reality when you leverage generative AI for digital twin technologies in an asset-intensive industry such as energy and utilities. Consider some of the examples of use cases from our clients in the industry: Visual insights.

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6 climate change adaptation strategies every organization needs today

IBM Big Data Hub

This situation increases the need for businesses to adapt their sustainability strategies to address climate change issues. In the electrical utility sector, overgrowth around powerlines increases susceptibility to storm or wildfires damage. What can organizations do about climate change?

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The Significance of Diversity, Equity, and Inclusion in Information Management

AIIM

Sarah, a newly Certified Information Professional (CIP) , serves as the Lead Document and Records Management Specialist for Fluor Federal Petroleum Operations, LLC and works as a contractor to the U.S. of Energy SPR. Information managers possess the skills to gather and utilize resources effectively.

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OpenText Summit | Houston Energy 2024 summary & key takeaways

OpenText Information Management

Last week industry leaders, experts, and innovators gathered at the Houston Aquarium for the OpenText Energy Summit in Houston , a pivotal event driving conversations on the intersection of artificial intelligence, information management, and energy sector dynamics.

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IBM and business partner bring intelligent equipment maintenance to automotive company with IBM Maximo

IBM Big Data Hub

ISO55000), various business, process and data standards, management strategies and KPI systems that cover the asset lifecycle to form the best practices of asset management (EAM) in various industries. Shuto also combines IBM Maximo® best practices and international standards (e.g.

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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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The six strategic uses cases for AIOps

IBM Big Data Hub

The appeal of this hybrid cloud strategy is that you can have all the resources you need to assure application performance. The result: reduced costs, less waste and documented ROI for your automation efforts. You’ll also build trustworthy automation for your IT teams since every action is backed by data.