From Models To Meshes: Building Trust, Balance And Resilience In AI For Energy And Utilities Energy Transition Talks podcast

Tech CGI in Energy & Utilities CGI in Energy Energy Transition Hydrogen Artificial Intelligence Low Carbon Energy Business Utility Renewable Energy Grid Modernization Decarbonizing Smart Grid Energy Storage Digital Transformation Future Of Energy

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From models to meshes: Building trust, balance and resilience in AI for energy and utilities

6d ago 16:11

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Energy & utilities leaders: move beyond AI pilots. CGI’s Peter Warren and Frédéric Miskawi show how small, quantized on-device models, edge robotics, and digital triplets drive real-time decisions on rigs and grids—while cutting cost and carbon. Get a pragmatic playbook: multi-model architectures, “healthy paranoia” against bias, and continuous data governance to fight digital entropy and build trustworthy, resilient AI.

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Chapters

1. From models to meshes: Building trust, balance and resilience in AI for energy and utilities (00:00:00)

2. Welcome Back and Setup (00:00:05)

3. LLMs vs Small Models Tradeoffs (00:00:54)

4. Edge AI, Quantization, On-Device (00:02:35)

5. Robots at the Edge and Safety (00:03:56)

6. Legacy Hardware, Agents, Layering (00:05:15)

7. Enterprise Neural Mesh and Triplets (00:07:29)

8. Human Change Over Tech Limits (00:09:35)

9. Disinformation and Healthy Paranoia (00:10:41)

10. Data Quality, Governance, Entropy (00:12:09)

11. Closing and Thanks (00:15:50)

48 episodes

#Tech #CGI in Energy & Utilities #CGI in Energy #Energy Transition #Hydrogen #Artificial Intelligence #Low Carbon Energy #Business #Utility #Renewable Energy #Grid Modernization #Decarbonizing #Smart Grid #Energy Storage #Digital Transformation #Future Of Energy