Featured Stories
Progress Software to Acquire Domo to Strengthen Its AI Data Platform
July 23, 2026
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.
Why the Way You Power AI and What You Feed It Determine the Outcomes You Get
April 20, 2026
As organizations have begun to adopt AI across search, copilots, assistants and internal tools, expectations have run high. With access to years and shared drives full of documents, files, emails and knowledge repositories, it felt logical to assume that AI would instantly deliver smarter answers and better decisions right away.
Static Pages vs. Content Modules in Progress Sitefinity CMS: Scaling Content with Structure and GenAI
April 14, 2026
As content volume grows, the way it is structured begins to directly affect speed, cost and operational efficiency. This is where content modules move from being a technical option to becoming a strategic advantage.
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Making Meaning More Actionable: What’s New in Progress Semaphore 5.10.2
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.
The New Search Reality: Matt Bertram on Fractured Traffic, Smarter Buyers & the KPIs That Actually Matter
ICYMI: Matt Bertram on the Collapse of “Old SEO” and the Rise of Everywhere Search
Tips for Designing UI Grids
Although the grid is invisible to users, it’s always there. Not every designer or developer may choose to work within a set grid when building an interface. However, those who do find that they can work more quickly and effectively with it. Here are some tips for putting your grid to good use.
Deep Research Demands More Than Fast Answers
Deep research is iterative, not transactional. AI must preserve context, reasoning and evidence across long-running investigations to be useful in R&D and turn isolated insights into institutional advantage. Trust is the gating factor here—when outputs can’t be traced, reviewed or defended, AI stalls at the pilot stage and never reaches production. It's production-ready AI that compounds research value.
Humans Over Hype: Phil Gamache on Martech Tools, AI Fatigue & Why People Still Matter
ICYMI: Phil Gamache on the Rise of “Human-First Martech”
Developer Spotlight: Diana Serban Builds Confidence Through Code in Her First Year with OpenEdge
Diana Serban’s story highlights how early internships, supportive teamwork, and hands‑on experience with OpenEdge helped her build confidence and grow rapidly as a junior developer in her first year.
The Critical Role of Managed File Transfer in E-Invoicing Across the EU
As the EU shifts toward e-invoicing and VAT reporting standards, MFT can serve a vital role as the delivery layer designed to move invoices between businesses, partners and tax platforms.
Why Every Company Will Have Its Own Internal ChatGPT
In the quest for leveraging data insights without exposing proprietary information, many companies are implementing RAG systems to query like an internal ChatGPT.
Researchers Need Boring AI That Finds What Matters
R&D doesn’t lack data—it lacks signal. AI-driven knowledge discovery only works when answers are grounded in trusted, contextual enterprise data, not probabilistic guesswork. Most AI tools break trust before they create value. Treating research data like generic internet content strips away context, provenance and scientific rigor.
Boring, reliable AI wins in 2026. Knowledge discovery that is governed, explainable and embedded into real R&D workflows is what turns AI from pilots into lasting outcomes.
Popular Stories
Progress Software to Acquire Domo to Strengthen Its AI Data Platform
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.
The Hidden Cloud Dependencies in Your On-Prem File Transfers
Your on-premises file transfer setup may quietly depend on a vendor’s cloud. Audit what your architecture actually runs—using Progress Automate MFT published design as the working example.
What Is the Best Ragie Alternative? And Is the Progress Agentic RAG Solution the Right Fit for You?
Ragie is shutting down July 19. If you built on it, here's an honest breakdown of your migration options, what Progress Agentic RAG offers as a replacement, and exactly how to move your pipeline before the deadline.
Webinar Recap: Agent-Based File Transfer Supports Modernization in a Hybrid World
In hybrid environments with cloud platforms, on-premises systems and external partners, agent-based file transfer can modernize workflows with centralized orchestration.
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