Data & AI

Here are some practical workflows for integrating personalization into your CMS based on your own data with Progress Agentic RAG.

Retrieval is the foundation that determines what AI can reason over and what it can’t. This resource explains why retrieval strategy, not model choice, is the key to reducing hallucinations, preserving context, and delivering trustworthy enterprise AI answers.

Progress Semaphore 5.10.2 helps organizations capture, govern, and reuse meaning with greater precision through enhancements like metadata on labels, SKOS collections, flexible metadata assignment, and concept reuse. With smarter semantic search and more collaborative modeling, this release makes trusted knowledge easier to discover, adapt, and use for confident, AI-ready decision-making.

In today’s data-driven world, cloud storage is no longer optional—it’s essential. Organizations rely on platforms like Amazon S3 for durability, scalability and cost efficiency. With support for objects up to 5 TB, S3 has become the backbone for data exchange, analytics and ETL workflows. But moving large files between systems and S3 can be challenging.