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Artificial Intelligence has the potential to accelerate innovation in the energy grid in terms of resiliency, decarbonization and security. AI has already shown how it can analyze vast amounts of data to help grid operators make near-real-time decisions. As the grid digitizes, AI can help the industry make full use of all its energy resources and infrastructure. However, change is hard, and not everyone is comfortable with integrating AI into the electric sector. What are the main hurdles? How can the industry move forward towards a "software defined" grid in which AI models help utilities meet their goals? Guest host Hanna Grene of Microsoft leads this conversation with Marissa Hummon, CTO of Utilidata, and Marc Spieler, Sr. Director of Energy at NVIDIA.
By gridforward5
1010 ratings
Artificial Intelligence has the potential to accelerate innovation in the energy grid in terms of resiliency, decarbonization and security. AI has already shown how it can analyze vast amounts of data to help grid operators make near-real-time decisions. As the grid digitizes, AI can help the industry make full use of all its energy resources and infrastructure. However, change is hard, and not everyone is comfortable with integrating AI into the electric sector. What are the main hurdles? How can the industry move forward towards a "software defined" grid in which AI models help utilities meet their goals? Guest host Hanna Grene of Microsoft leads this conversation with Marissa Hummon, CTO of Utilidata, and Marc Spieler, Sr. Director of Energy at NVIDIA.

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