Tag: AI

AI governance keeps starting at the model layer, but explainability often starts with the file that fed the decision, before scoring ever runs.

Vector-only retrieval misses exact terms, relationships and use-case-specific context, so multi-layer indexing and per-experience retrieval configuration decide whether agentic RAG stays trustworthy at scale.

Continuous RAG evaluation turns accuracy from a sampled opinion into scored, traceable evidence for governance and quality teams. Instead of one reviewer’s read on a handful of answers, every response gets scored for context relevance, answer relevance and groundedness, and those scores accumulate into a trend line a quality lead can actually inspect.

Q&A with Belong CEO Pierre Azzam discusses how AI is changing digital experience content, capabilities, expectations and priorities.

Progress Software recently hosted its OpenEdge World Tour across the globe. Australia was a key market with three cities visited: Melbourne, Sydney and Brisbane. In every city, we met with customers, partners, developers, and technology leaders who shared how they are using OpenEdge to develop, run, and evolve on-premise or cloud applications that demand reliability, security, and long-term trust.