Felix Bartler

Custom Python operators in SAP Data Intelligence stand out as a versatile tool for developing bespoke integrations. The richness of Python’s library ecosystem opens up endless opportunities. This article will delve into how pyodbc, as a robust and versatile ODBC (Open Database Connectivity) technology, enables seamless connections to an extensive array of databases.

With the rise of Large Language Models (LLMs), the potential to incorporate this cutting-edge technology into SAP-managed processes has become increasingly prominent. This blog post is part of a comprehensive series aimed at providing a detailed, hands-on tutorial on leveraging LLMs within the BTP (Business Technology Platform). Scenario: As developers of a custom AI solution, our objective is to deploy a mid-sized Language Model to AI Core for efficient inference in our processes.

SAP Build Process Automation offers the capability to automate your business processes efficiently. To ensure the stability of your automations, it is crucial to have the ability to read from and write data to third-party systems using APIs. In a typical SAP landscape, some of the systems you need to interface with are located on-premises. To securely access these on-premises systems, the SAP Cloud Connector is the recommended solution.