
In this episode, Kevin Evans sits down with AI systems engineer and energy sector expert Wish Bakshi to explore how AI and data analytics are transforming the oil, gas, and power industries. They discuss technical intricacies, industry challenges, and future opportunities in energy infrastructure.
Key Topics
- How AI models are used across the "molecules to electrons to bits" in energy
- The complexity of oil & gas logistics in North America vs. Europe
- Power grid nuances and the role of real-time data and AI
- The impact of open source AI models and frameworks like Hugging Face
- The evolution of AI’s influence on commodities trading and market prediction
- Power & power grid stability — the importance of maintaining the grid’s "heartbeat"
- Building and managing AI data centers: scale, infrastructure, and environmental considerations
- Frameworks for deploying AI: orchestrator methodology, multi-agent systems
- The rise of citizen developers using low-code/no-code AI tools
- Future outlook for AI adoption, standardization, and industry disruption
Resources & Links
- Hugging Face – community-driven platform for open source AI models
- Wednesdays with Wish – Wish Bakshi’s LinkedIn blog & updates
- Industry reports and articles on AI in energy sectors (suggested based on discussion points)
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