As organizations have begun to adopt AI across search, copilots, assistants and internal tools, expectations have run high. With access to years and shared drives full of documents, files, emails and knowledge repositories, it felt logical to assume that AI would instantly deliver smarter answers and better decisions right away.
The blog explains that the Progress DataDirect Oracle ADO.NET provider adds MSLSA-based Kerberos authentication via the Kerberos.NET library to bypass SSPI limitations under Oracle Advanced Security and avoid MIT Kerberos’s external libraries and file-based credential caches in hardened Windows environments.
In this blog, we take a look at why AI costs accelerate so quickly after initial implementation success and how a modular approach to Agentic RAG can transform isolated pilots into a scalable, sustainable foundation for enterprise AI.