Mind the Gap: Bridging AI and Energy
The energy sector faces distinct barriers in adopting Artificial Intelligence compared to other industries, from legacy infrastructure and regulatory constraints to challenges in data integration and cultural readiness. Mind the Gap highlights these realities, setting the stage for a pragmatic discussion on how AI can deliver tangible value in decision-making and operational support.
Bridging the Gap explores the technology stack, architectural choices, and model selection strategies that enable scalable, reliable, and maintainable AI systems tailored for the energy domain. We will also examine what a modern AI development stack looks like today and how organizations can prepare for long-term maintenance and evolution.
Finally, Bringing it All Together distills lessons learned from real-world implementations: what works, what persistent challenges remain, and how collaboration and trust can shape the path forward. This presentation aims to equip stakeholders with a grounded understanding of both the opportunities and the practical steps required to bridge the gap between AI’s potential and its successful adoption in the energy sector.
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