This can give organizations “predicable costs and more control over their data sovereignty,” Spurling said.
AI Factory, which wasn’t previously available on-premises in a single, integrated, and ready-to-run stack, combines the data analytics software provider’s database engine and AI Workbench (consisting of ClearScape Analytics, ModelOps, JupyterHub, AI and ML In-Engine Analytics, Enterprise Vector Store, and support for the Open Table format) with AI microservices such as RAG, retrieval embedding, reranking, and guardrails.
Together, these tools gives enterprises a way to scale AI with an out-of-the-box packaged solution — with governance, performance, and control baked in, said Michael Ni, principal analyst at Constellation Research.
