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Power of AI: Energy & Mining

The rapid push to adopt artificial intelligence may have far-reaching impacts on the energy and mining sectors. Explore what these developments are.

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Transforming the Enterprise: Navigating Generative AI’s Impact

As the dust is settling after the explosion of interest in Generative AI ignited by ChatGPT, how has the technology landscape been reshaped? This live webinar will look at the vendor ecosystem emerging around Generative AI, the ways in which organizations are leveraging the technology and its impact on businesses moving forward.

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  • Power Sector

    Wild predictions of electricity demand from AI put industry on edge

    Close attention to datacenter geography will be increasingly important for grid operators as AI adoption progresses. Current power demand from operational and planned datacenters in the US is about 30,694 MW, according to an analysis of 451 Research data. Investor-owned utilities are set to supply about two-thirds, or 20,619 MW, of that amount.

    Initial power demand for training AI is high and is more concentrated than traditional datacenters applications. A typical rack of servers with AI processors consumes 30 kW to 40 kW, or two to three times the consumption of a traditional rack, "so we need new technology in the power converters," Stephen Oliver, vice president of corporate marketing and investor relations at Navitas Semiconductor, said in an interview.

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Your radar into market disruption, innovation, and digital transformation in the tech space.

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  • Mining Sector

    AI's big promises start to deliver for miners adopting new tech



    The global mining sector is tapping into cutting-edge artificial intelligence to uncover faster and better ways to extract minerals from the ground and process them. AI is already a virtual colleague in processing at many large mines, advising operators on how to liberate metals from complex and increasingly lower-grade ores.
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