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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). This research can enable more liquid markets and lower energy prices for customers.

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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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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

As more countries, companies and individuals seek energy sources beyond fossil fuels, interest in renewable energy continues to rise. In fact, world-wide capacity for energy from solar, wind and other renewable sources increased by 50% in 2023. What is renewable energy? trillion in 2023. trillion in 2023.

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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. Software and analytics: Smart grids generate massive amounts of data.

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MY TAKE: ‘IOWN’ makes the business case for fostering diversity, respecting individual privacy

The Last Watchdog

IOWN is all about supporting increased bandwidth, capacity and energy efficiency. Each sensor in each shroud must be uniquely smart and use next to zero energy. Optical technology can enable us to control energy consumption so we can support increasing capacity and increasing bandwidth,” Gomi summarizes.

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Top technology predictions for the energy industry in 2020

OpenText Information Management

Uncertainty has become the new norm in the energy industry and 2020 promises more of the same. This is due largely to the fact that the oil and gas and utility sectors are heavily impacted by some pretty intense forces – the geopolitical climate, trade tensions and economic fluctuations, just to name a few.

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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. We also know that using AI requires vast amounts of energy and data.