AI/ML is moving from hype to practical gains. For finance, start with process automation: modern OCR and RPA digitize and classify invoices/expenses, enforce rules, and speed AP/AR, close, and DSO. True ML needs quality, high-volume data; embed it in apps for prediction and anomaly detection—don’t buy vague “AI.” Deep learning (GPUs + cloud) powers tools like ChatGPT, but generative models won’t audit your books without secure data access and controls. CFO playbook: digitize and standardize processes; centralize data; automate routine work; then layer ML/AI for insights; measure ROI; avoid vendor sprawl; keep humans in the loop. Mitigate risks—bias, privacy, explainability, compliance—with governance and monitoring.

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