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Optimizing energy production with the latest smart grid technologies

IBM Big Data Hub

New technologies are shaping the way we produce, distribute and consume energy. alone has installed nearly 10,000 electricity generation units, connected by more than 300,000 miles of transmission lines and capable of generating over a million megawatts of energy. Historically, the power grid has been a one-way street.

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The advantages and disadvantages of renewable energy

IBM Big Data Hub

New developments in renewable energy are making headlines and inspiring hope in communities worldwide, from a remote Arctic village working to harness solar and wind power under challenging conditions to a U.S. Air Force base planning an advanced, utility-scale geothermal power system. Let’s take a look at both.

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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.

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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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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. Industry 4.0 IDG infographic to understand how you can unlock Industry 4.0 with an asset lifecycle management cloud 2.

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There’s More to erwin Data Governance Automation Than Meets the AI

erwin

Industry analysts and other people who write about data governance and automation define it narrowly, with an emphasis on artificial intelligence (AI) and machine learning (ML). The bottom line is you do not need to waste precious time, energy and resources to search, manage, analyze, prepare or protect data manually.