Tag: AI governance

Progress Supporting Trusted AI and Content Discovery Through IPTC Membership
Membership in the International Press Telecommunications Council, or IPTC, allows organizations to better understand how metadata, semantic context and governance can support trustworthy content discovery and responsible AI. Whether you're modernizing content archives, improving discoverability, enriching metadata or building trusted AI workflows for publishing, Progress Data Platform can help connect content, context and governance at scale.
Why Credit Union AI Visibility Depends on CMS Governance
Credit unions need more than SEO for AI visibility. Learn how CMS governance, structured content and publishing controls support trusted AI search answers.
From Data Pipeline to Decision Pipeline: Making Banking AI Explainable Before the Model Runs
AI governance keeps starting at the model layer, but explainability often starts with the file that fed the decision, before scoring ever runs.
Why AI Pilots Don’t Ship: The Trust Ceiling No One Talks About
AI pilot failures cluster around integration and a learning gap, how the system connects to real data and real workflows, not how well it reasons. In this post, we'll discuss why so many AI pilots fail to pass the trust ceiling when the governance to defend them don't exist.
AI Governance and Auditability Benefits in Progress Agentic RAG
AI governance in regulated enterprises isn’t a model problem — it’s a retrieval-layer problem, and Progress Agentic RAG embeds auditability where it matters.

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