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Resecurity Released a 2024 Cyber Threat Landscape Forecast

Security Affairs

2️ Cyber Attacks Against Energy (Oil & Gas) and Nuclear Sectors Critical infrastructure across all domains continues to remain a focal point for cyber-attacks, orchestrated by both cybercriminal elements and nation-state actors.

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Top 5 tech predictions for the energy and resources sector in 2025

OpenText Information Management

The energy and resources sector is undergoing a profound transformation driven by the global push toward sustainability, energy technological advancements, geopolitical risks, and increasing regulatory pressures in some areas of the world. Every digital fabric has horizontal and vertical digital threads. Digital twins are no different.

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Harnessing AI and data analytics can make clean energy more viable

IBM Big Data Hub

This is where harnessing artificial intelligence (AI) and data analytics can help. To assist utility companies, IBM has created the Clean Electrification Maturity Model (CEMM) in conjunction with the American Productivity & Quality Center (APQC). The latter can also help drive efficiency by lowering end-user energy use.

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Digital twins reimagined at scale for energy and resources 

OpenText Information Management

1 The ratio between man and machine All industries use machines, yet the energy and resources sector including utilities , oil and gas , chemicals , and metals & mining industries is the most capital intensive. trillion of annual capital investment is made in the energy industry today and by some estimates will grow to $9.2

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Elevating human potential in 2025 and beyond

OpenText Information Management

Artificial intelligence simulates the human mind by simulating cognitive abilities like learning, reasoning, problems-solving, and decision-making. Sun burst = Corporate strategy & initiatives: The suns burst of energy represents a companys annual release of corporate strategies and initiatives.

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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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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.