This session will examine the role of data quality and validation in determining the real-world value of AI for solar portfolios.
Key points include:
· The current state of PV digitalization and the persistent problems in today's software – and what's now achievable that wasn't before
· Why generic LLMs fall short on solar: they hallucinate both the inputs (unverified data) and the outputs (guessed calculations)
· The two-pillar foundation behind our agents: verified PV datasets as trusted inputs, and established simulation, optimization, and financial-analysis engines as trusted computation
· What our specialized agents do with that foundation – Solarintelligence.ai and the downstream O&M / asset-management tools from the Italian branch
· Where AI creates real value today, and where expectations remain inflated
· Transferable insights for U.S. fleet operators, financiers, and software providers