{"ref":"content:teched-2026-ra162","page":"/content/teched-2026-ra162","json":"/content/teched-2026-ra162.json","generated":"2026-10-26","drafted_with_ai":true,"entity":{"id":"teched-2026-ra162","title":"SAP-RPT and TabPFN: Get started with tabular foundation models","url":"https://www.sap.com/events/teched/berlin/flow/sap/te26/catalog/page/catalog/session/1785751580777001pW43","content_type":"talk","published_on":"source:sap-teched","explains":["artifact:btp-ai-core","capability:predictive-models"],"summary":"Tabular foundation models, SAP-RPT and TabPFN, in a hands-on with SAP and Prior Labs: the model families first, then predictions run through [SAP AI Core](artifact:btp-ai-core) with a workflow built on tabular orchestration and connected to the participant's own data for real-time predictions. A [predictive models](capability:predictive-models) session with the models as the subject; the abstract does not name the SDK or API the workflow is built with. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Eliott Kalfon, Janick Zaehringer-Frasch, Johannes Hoehne, Katharina Schell, Nilay Mehta and Sherene Tan, written here from SAP's abstract; no recording is announced.","short":"Hands-on with SAP-RPT and TabPFN tabular foundation models","offers":["tutorial"],"sources":[{"url":"https://developers.sap.com/build/teched","title":"SAP TechEd 2026 session catalogue feed","checked":"2026-10-11"}],"drafted_with_ai":true,"provenance":{"discovered_via":[{"source":"source:sap-teched","channel":"build/teched"}],"first_seen":"2026-10-11"}},"readings":{"liveness":[{"label":"Checked against the source","tier":"unknown","evidence":"nobody has checked it"},{"label":"Source reachable","tier":"unknown","evidence":"not crawled"},{"label":"Age","tier":"unknown","evidence":"no publication date"}],"compatibility":[{"label":"Version","tier":"unknown","evidence":"no version declared"},{"label":"Moved since?","tier":"unknown","evidence":"no publication date to compare"},{"label":"Findings","tier":"good","evidence":"none flagged"}],"reach":[{"value":null,"unit":"views"},{"value":null,"unit":"comments"},{"value":null,"unit":"likes"}]},"signals":null,"series":null,"edges":{"authors":[]}}