I use SAP AI Core to run machine learning workflows and deploy models, including support request classification. I appreciate its support for managing the AI lifecycle within SAP BTP and for working with open-source machine learning frameworks on a platform designed to operate AI workloads. It’s useful for projects already connected to the SAP ecosystem. Having a consistent way to run workflows and manage deployments helps organize the move from building a model to making it available to a business application, and gives the project a clear structure. I find the SAP AI Launchpad helpful for our team. Moving from local experimentation to a managed deployment has made running workflows easier and more trustworthy, and the configuration has been easier and more reliable for applications to authenticate, send requests, and handle responses or failures. A working endpoint is valuable to me. The initial setup was easier than I expected: connecting to SAP BTP, using the documentation and Launchpad connection process, and adding the SAP AI Core service key to our existing application was enough to get started. Review collected by and hosted on G2.com.

I found the learning curve challenging as someone new to SAP BTP. I’d appreciate a clearer beginner journey from configuring account permissions to the first successful deployment, along with more context for setup errors, especially when several configuration choices could explain why something isn’t working. Review collected by and hosted on G2.com.