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The GM wanted to replace 10 slot machines. Our dashboard shows 9 are victims of location, one is leaking ~$73k a year, and a live Tiger Data alarm would have caught it in 10 hours.
a poker bot that taught itself short deck 5 card PLO by playing hands against itself with CFR, then adapts to how each opponent plays
Beating the house edge, one spin at a time: LSTMs that read a slot machine’s past and call its next odds.
Find a place in the MSC when you need a step-free floor change, a quieter spot, nursing, food, or a printer. Forty-six markers, three floors. It will not invent a turn.
One late part can stop a car factory. Our AI agents find every affected order and fix it automatically. Builds rescheduled, dealers notified, loaners assigned, every step explained.
A self-improving agent that labels grocery products, proves every lesson on unseen data, asks an LLM only when unsure, and governs it all on Databricks.
