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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. From Collection To Connection: How Energy Utilities Can Become Data Orchestrators

    Energy utilities are transitioning from simply collecting vast amounts of data from advanced metering infrastructure to actively operationalizing it. Artificial intelligence is key to this shift, enabling utilities to move from reactive load shifting to proactive load shaping. This allows for more granular grid management, better alignment of rate incentives with infrastructure needs, and more precise forecasting for new load demands like data centers. AI

    From Collection To Connection: How Energy Utilities Can Become Data Orchestrators

    IMPACT Enables utilities to optimize grid management and customer service through AI-driven data analysis.