Energy runs on volatile markets. Finance protects the margin.
Energy finance runs on a data ontology that keeps margin figures tied to their business context—asset, market, contract—as prices, positions, and the forward curve shift throughout the day. Databricks' Genie AI coworker builds on that foundation to give finance teams governed, traceable answers on margin exposure, revenue risk, and funding capacity for AI-driven power demand.
* Energy finance protects margin through constant volatility. Power and fuel prices move by the hour, PPAs and hedges can settle at values far from what the books assumed, and a historic buildout for AI demand is pulling in capital fast. Wholesale power near data centers has run as much as 267% above normal, and agents are making these decisions move even faster. * Accurate isn't the same as correct. A margin figure is only trustworthy in the full context of the business, which asset, which market, which contract. That's what an ontology provides: it captures business meaning and keeps it live as prices, positions, and the forward curve shift through the day. * Genie is a data-smart AI coworker for finance. It answers the three core questions (where margin is landing as prices move, where volatile revenue risks being misstated or uncollected, whether the buildout can be funded without overextending), with governed, traceable answers. Genie readies the move, a person makes the call, and the three outcomes compound into one reinforcing mechanism.