The future of enterprise AI is evolving from training large language models using massive data sets to utilizing AI inferencing, the strategic deployment of pretrained models to deliver business value in real time. Ellison's belief in the dominance of AI inferencing over AI training projects was backed by the company's record-breaking $455 billion in remaining performance obligations (RPOs), or backlog of contracts. Why AI Inferencing Will Automate Enterprise OperationsEllison explained that AI inferencing will be used to run robotic factories, biomolecular simulations for drug design, laboratory automation, placing bets in financial markets and more. In addition, he forecasts that AI inferencing will be used to automate processes in finance, legal and sales. "MultiCloud database revenue from Amazon, Google and Microsoft grew at the incredible rate of 1,529% in Q1," Ellison said.