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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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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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How Content Services Are Enabling the Digital Transformation of Electric Utilities

AIIM

Electric utilities in the United States are a major source of CO2 – they created 1.55 And according to the US Energy Information Agency, consumption is expected to grow by 50% by the year 2050. To get greener, electric utilities must digitally transform. The Slow Transition to Green Energy. Artificial Intelligence.

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How green is your application delivery software?

OpenText Information Management

Your digital carbon footprint includes emissions from the software delivery process--planning, coding, building, testing, release--in addition to energy consumed from customer use. Decrease your individual energy output with automated tests executed on the cloud. Reduce the footprint of your system under test through virtualization.

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

Today, utilities and many other industries use drones extensively to conduct surveys, map assets and monitor business operations. Watson® Discovery in CP4D can help ingest unstructured data (such as inspection reports, progress reports and OEM documentation) and prescribe appropriate SOPs to improve overall asset handling.

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Private cloud use cases: 6 ways private cloud brings value to enterprise business

IBM Big Data Hub

Enterprise organizations in industries that need to meet strict regulatory compliance standards or comply with data sovereignty laws (manufacturing, energy, oil and gas) frequently choose private cloud environments when they need to meet strict regulatory standards.

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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. A centralized asset database enables better visibility and control over assets.