Remove industries energy-and-utilities
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Supply chain visibility in the energy and utilities industry

IBM Big Data Hub

For the energy and utilities industry (E&U), time is not on their side. Facts about the energy and utilities industry Transformer prices have doubled, while the average lead time for delivery has at least tripled from what it was two years earlier, reaching 52 weeks in some cases. Visibility.

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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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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

According to market researchers at Gartner 1 , “Utilities are faced with unprecedented challenges.” To overcome these challenges, energy companies are increasingly turning to artificial intelligence (AI), particularly generative AI large language models (LLM). Overcoming a lack of resilience Fires. Hurricanes. Heat waves.

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Harnessing AI and data analytics can make clean energy more viable

IBM Big Data Hub

As a result, the electric power industry is hastening efforts to reduce environmental impact. 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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Green Data Centers Make Data-Driven Entities More Sustainable

Smart Data Collective

We have a post on some of the industries that have been most affected by big data. On the other hand, data centers have large carbon footprints, so companies need to find ways to make them more energy efficient. These figures represent a significant stride in optimizing energy and water utilization in data center operations.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 87
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Transform the modern data center: From today to the future

CIO Business Intelligence

These include the accelerating transition to cloud platforms, the growth of hybrid and remote work models, and the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across every industry. As IT leaders, understanding the path forward is crucial.