Tag: Data & AI

AI fines are no longer theoretical; regulators are now enforcing control requirements as AI moves from pilots to production in financial services. The post explains why contracts alone won’t satisfy supervisors, what evidence regulators will expect to see in production and how organizations can operationalize governed, defensible AI with runtime guardrails, provenance, lineage and auditable controls—setting the agenda for the RegTech Conference in London on March 26.

Traditional search returns links. AI search delivers answers. Learn how organizations are transforming site search into a smarter knowledge experience.

This article explores how the “slow down AI” narrative is weakening innovation by replacing risk management with risk avoidance. It shows how over-governance drives experimentation elsewhere and proposes a builder-first framework for responsible progress.

This feature in SD Times explores how Progress’ DataDirect Autonomous REST Connector (ARC) provides an easy way for companies to build and deploy data connectors to any REST API source without needing to wait for someone in IT to set it up.

This article explores the shift from retrieval-augmented generation (RAG) tutorials to production-ready architectures, focusing on latency, cost control, reliability and compliance in real-world deployments.