AI-enhanced analytics with SAP Business AI Platform
SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp data products joined to an ontology, a semantic layer the abstract says is supported by the Model Context Protocol, and read from Joule Work (SAP JouleSAP JouleSAP's unified AI engagement layer across SAP applications: Joule Work is where a user expresses intent, Joule Assistants coordinate agents across business functions, and Joule Agents carry out the tasks, provisioned on BTP as a formation against SAP Cloud Identity Services.sap official, btp) and SAP Analytics CloudSAP Analytics CloudSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp: that is the architecture SAP's abstract states for its AI-enabled analytics. The abstract names the parts and not how the semantic layer is modelled or what an analytics developer builds against. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Hacen Benkhedah, Joaquin Recio HuertasJoaquin Recio Huertasgave 1 talk, contributed to 3 entries, Matilda Hyka and Oliver Huth, written here from SAP's abstract; the recording is not yet published.
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In the atlas: contributes to 3, wrote 1@JoaquinRecioauthor
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- Entered the atlasDiscovered via SAP TechEd — session catalogue · build/teched.
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