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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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How green is your application delivery software?

OpenText Information Management

Most IT sustainability goals include reducing Scope 2 and 3 greenhouse (GHG) emissions to reduce their digital carbon footprint, the GHG emissions produced by digital technology resources, devices, tools, and platforms. Decrease your individual energy output with automated tests executed on the cloud.

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MRO spare parts optimization

IBM Big Data Hub

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. regulations, undergoing digital transformation and the need for cost-cutting. What’s at stake?

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IBM and Tata Consulting Services collaborate to drive hybrid cloud adoption with IBM Power Virtual Server

IBM Big Data Hub

Our partnership benefits from IBM’s expertise in cloud computing , artificial intelligence (AI) and analytics, and TCS’s experience in digital transformation, consulting and cloud-engineering services. Accomplishing such projects and workloads requires precision, diligence and substantial experience.

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

IBM Big Data Hub

The use of digital twins is one such innovation. In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. And in the realm of exploration, digital twins can revolutionize the way companies search for new oil and gas reserves.

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The six strategic uses cases for AIOps

IBM Big Data Hub

By infusing artificial intelligence (AI) into IT operations , you can leverage the considerable power of natural language processing and machine learning models to automate and streamline operational workflows. The benefits of AIOps are many. of global electricity use.

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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.