Featured Stories
Part 1: Getting Started with Progress’ RAG-as-a-Service Platform, Progress Agentic RAG
October 13, 2025
Enterprise knowledge management is broken. Critical insights get buried in email threads, brilliant analysis disappears into network drives and teams unknowingly duplicate work that was completed months earlier. The promise of AI-powered search and retrieval augmented generation (RAG) offers a solution—but how does it work in practice? Read our blog to find out.
Built for Business, Loved by Developers: Progress OpenEdge ABL
October 16, 2025
Progress OpenEdge ABL is a business-focused, fourth-generation language that enables rapid, reliable and scalable development of mission-critical applications, making it a trusted and future-ready choice for organizations and developers.
Introducing Automate MFT: Modern File Transfer Built for Hybrid and Distributed IT Ecosystems
October 08, 2025
We're thrilled to introduce Progress Automate MFT—a first-of-its-kind cloud-native orchestration engine explicitly built for automated, secure file transfer. Is a cloud-native file transfer solution at the top of your wish list? Let’s dive into the details that make Automate MFT the right solution for your enterprise.
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An Introduction to FIPS-140-2 Requirements
FIPS 140-2 is a requirements document that sets the minimum strength level for data encryption used in Sensitive But Unclassified (SBU) federal operating environments. But its influence goes far beyond this significant but delimited area.
Using a CMS to Design the Right Content & User Experience
Your CMS is a powerful asset, enabling you to create a truly engaging user experience. See how we use Sitefinity to fine-tune the Sitefinity.com user experience.
Anatomy of a Chocolatey Package
In this article, I will dive into a Chocolatey package to show the important components.
3 Phases of Network Security
Network Security has multiple concepts. One such model is the Before-During-After concept, which I will break out into different phases. Specific to incident and problem management in IT, this methodology plays an important role for IT teams.
How L.A. Care Health Plan Cleaned Up the Data-Quality Problems in Its Provider Directory
Faced with mounting fees and corrective action plans from data-quality issues in its provider directory, L.A. Care Health Plan turned to operational data hub technology for help.
Getting Started with Apache Nifi: Migrating from Relational to MarkLogic
Apache NiFi introduces a code-free approach of migrating content directly from a relational database system into MarkLogic. Here we walk you through getting started with migrating data from a relational database into MarkLogic
How to Configure Active Directory Auth from iOS and Android
Learn how to quickly and easily leverage Azure Active Directory in your native iOS and Android mobile apps with Kinvey and NativeScript.
Data Hubs: Separating Hype from Reality
Wondering which type of data hub is best for you? Our EVP of Products provides a checklist – and explains the power of “operational” in the MarkLogic Operational Data Hub.
Popular Stories
What’s New in MOVEit 2025.1: A Day When Files Keep Moving
In your day-to-day, file transfer requests can be disruptive. The MOVEit 2025.1 release is designed to alleviate some of that chaos.
Real-World Risks of AI: What We Should Be Watching
In this publication you will discover a series of real cases that have occurred due to overconfidence in AI, as well as recommendations and suggestions to avoid these situations.
This Innovative Developer’s Award-Winning Hackathon Journey Is Bringing AI and OpenEdge Together
Carlos Vega’s award-winning OpenEdge AI Hackathon project demonstrates how Progress OpenEdge applications can be modernized by integrating AI, enabling natural-language data queries and inspiring the community to innovate with human-centric, conversational AI workflows.
The 6 AI Trends That Will Actually Matter Next Year
If 2023–2024 were the years of pilots and prototypes, 2025–2026 will be about orchestration, governance and scale. The signal across serious researchers is consistent: adoption is widespread and business impact concentrates where companies redesign workflows, measure outcomes and hard-wire trust and controls into the stack. McKinsey reports that ~80% of companies use generative AI (GenAI), yet most still aren’t seeing material earnings contribution, because scaling practices and operating models lag the hype. This gap is a roadmap that can be leveraged by Frontier Firms and individuals looking for an advantage (or many) in today’s AI-powered world.
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