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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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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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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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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.

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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. This strategy goes beyond just deploying the latest technologies to combat AI and mobile threats.

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Examples and uses of GIS

IBM Big Data Hub

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management.

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

IBM Big Data Hub

Artificial intelligence (AI) is revolutionizing industries by enabling advanced analytics, automation and personalized experiences. 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.