Featured Stories

AI has become everyone's favorite buzzword. It's on every slide deck, product page and conference keynote. Yet, somewhere between the hype cycles and headline claims, AI has started to mean everything and nothing at the same time.

Kenneth Chamisa, a Lead Solution Architect at MIP Holdings, won the OpenEdge × AI Innovation Challenge by creating an AI-powered, agentic workflow solution that leverages OpenEdge as the trusted system of record to automate complex enterprise business processes.

This blog shows OpenEdge developers how they can begin applying AI today through practical workflows—order exception handling, customer-facing knowledge search, and automated code review—that augment existing ABL applications without replacing core business logic.

Progress intends to acquire Domo’s AI and data platform business, bringing together complementary strengths to help organizations get more value from their data and AI investments. By adding Domo’s cloud-native AI data readiness platform, Progress will help customers better connect, govern and act on enterprise data across systems, applications and business processes. Together, Progress and Domo aim to give organizations the trusted foundation they need to use AI more confidently, make better decisions and accelerate innovation.

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

This webinar recap explains how to improve OpenEdge database performance through monitoring, targeted tuning of memory, storage and database structures, reducing contention, offloading reporting workloads and leveraging MDBA expertise to optimize application responsiveness, stability and scalability.

Sitefinity CMS now supports building custom AI agents and using conversational interfaces to ask natural-language questions that help marketers understand content performance, surface SEO and AEO optimization opportunities and trigger actions, all inside the CMS.

Stories, familiarity and curiosity can help stick your brand in the memory of your prospect for when they’re ready to engage.

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.