One signal

SAP says SAP-RPT-1.6, its tabular foundation model for predictions from structured business data, is now available to customers. The company argues such models can help with tasks like forecasting demand and identifying late-payment risks, where relationships across rows, columns and time periods matter.

SAP’s pitch is that one broadly applicable model could reduce the need to build and maintain a separate machine-learning system for each task. That is an ambitious promise, not a demonstrated replacement for every specialist model. Still, it marks a practical push to put AI predictions closer to the spreadsheets and business records where many decisions begin.

Discuss: Would you trust one general tabular model across several business tasks, or keep specialist models for each decision?

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