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

IBM Big Data Hub

When leveraging traditional ML and AI modeling technologies, you must carry out focused training for siloed AI models, which requires a lot of human supervised training. We can use this to scale the use of AI in identification of anomalies and damages on utility assets versus manually reviewing the image.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

We believe there are three core areas that every organization should focus on: sustainability strategy and reporting; energy transition and climate resilience; and intelligent asset, facility and infrastructure management. This approach can help organizations to more easily establish a sustainability strategy across the business.

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Utilities Digital Journey Insights (Part 5): Utilities decentralize organizational models to meet consumer needs

CGI

Utilities Digital Journey Insights (Part 5): Utilities decentralize organizational models to meet consumer needs. To gain the true value of digital transformation, utilities are embracing more dynamic and autonomous organizational structures that enable them to make decisions closer to the customer. Wed, 03/27/2019 - 03:33.

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Unleashing the potential: 7 ways to optimize Infrastructure for AI workloads 

IBM Big Data Hub

In this blog, we’ll explore seven key strategies to optimize infrastructure for AI workloads, empowering organizations to harness the full potential of AI technologies. High-performance computing systems Investing in high-performance computing systems tailored for AI accelerates model training and inference tasks.

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News alert: Beazley reports on how AI, new tech distract businesses as cyber risk intensifies

The Last Watchdog

The report outlines how cyber hacking groups are becoming more specialised and diversified, with some groups now using SME’s security systems as a training ground for new hackers to learn their trade.

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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. A digital twin of an oil reservoir can help operators better understand reservoir behavior and plan extraction strategies more effectively. The use of digital twins is one such innovation.

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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.