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.
Application development platform for running business critical applications needing high performance, high availability and flexible deployment
options for extensibility, scalability, security and performance.
The comprehensive collection of .NET and JavaScript tools for developing modern business application and a powerful collection of JavaScript
UI components for developing modern business applications.
A next-generation Agentic RAG-as-a-Service platform offering fast, flexible and modular retrieval functionality to AI agents from a wide variety of unstructured data formats.
Semantic AI platform that transforms data into meaningful insights. Empowers organizations to manage knowledge models, automatically extract
and classify meaning from both structured and unstructured data to generate rich semantic metadata.
An enterprise-grade data platform that connects, governs and contextualizes data across the organization to make AI practical, trusted, and scalable. The Progress Data Platform turns fragmented structured and unstructured data into AI-ready intelligence, enabling reliable knowledge discovery, agentic workflows and operational decision-making with confidence.
Managed file transfer and automation software that helps customers secure sensitive files at rest and in transit, promotes reliable business
processes and supports compliance with data security requirements.
Digital content and experience management suite of intelligent, ROI-driving tools for marketers and an extensible toolset for developers to
create engaging, cross-platform digital experiences.
A SaaS-native platform that includes AI-powered document-centric collaboration, workflow automation, a user-friendly client portal, secure file sync and share and integrated eSignature for more efficient and effective document sharing.
An all-in-one work management platform and productivity solution that empowers you with no-code apps and personalized digital workspaces to organize content, automate workflows, manage projects, and collaborate in real-time.
AI-powered .NET Telerik and JavaScript Kendo UI components for building web, cross-platform, mobile and desktop applications faster than ever. Suite includes reporting and report management solutions, document processing and mocking tools as well as powerful design system capabilities to accelerate UI/UX customization.
Network observability platform with AI-powered detection for cyberthreats, anomalies and fast access to actionable insights for greater
network and application performance across hybrid cloud ecosystems.
Managed file transfer and automation software that helps customers secure sensitive files at rest and in transit, promotes reliable business
processes and supports compliance with data security requirements.
Network observability platform with AI-powered detection for cyberthreats, anomalies and fast access to actionable insights for greater
network and application performance across hybrid cloud ecosystems.
IT infrastructure monitoring software providing visibility into network devices, servers, virtual machines, cloud and wireless environments to
quickly find and fix network problems before users are impacted.
Nuclia-managed RAG, combined with ChatGPT at Azure’s infrastructure, takes your search and find experience to new heights by generating AI-powered answers from unstructured data. Leverage ChatGPT’s sophisticated language understanding and generation capabilities to reveal valuable insights without manual effort.
Improve RAG Accuracy: Integrate User Context for Better Answers
The answer provided by a RAG solution like Nuclia will always depend on how precise the question is. The more information you provide, the more accurate the answer will be. Unfortunately, the user might assume that the system has more context than it actually does. For example, imagine your company is running an online avatar creation studio and you provide the following details about the different subscription plans:
Optimize RAG Results: Best Embeddings, LLMs, Prompts and Retrievals
One of the most powerful aspects of Nuclia is its ability to find the perfect combination of embeddings, LLMs, prompts, and retrieval strategies tailored to any specific use case. Whether you are dealing with highly specialized industry data or general-purpose information, Nuclia’s flexible framework allows you to configure and optimize every aspect of your RAG process. This means that no matter your specific requirements, you can rely on Nuclia to deliver the most effective and efficient results.
Take this personality quiz to discover your file transfer mascot. Are you a Security Sphinx or a Chaos Gremlin? Find out which method matches your style and why MOVEit software might be your perfect match.
Nuclia’s RAG evaluation tools, REMi and nuclia-eval, can be used to identify and resolve issues in a failing RAG pipeline. The tools are based on the RAG Triad framework, which evaluates the query, contexts, and answer in relation to each other using these metrics:
Monitoring the Quality of Your RAG Stack with REMi
Using RAG is about getting the most from LLMs ability to phrase proper answers and at the same time to make sure it uses the most relevant and up-to-date data according to the user’s question. The objective is to deliver high-quality answers to users.
Nuclia has been building something for the last two years. Our vision is to deliver an engine that allows engineers and builders to search on any domain specific set of data, focusing on unstructured data like video, text, PDFs, links, conversations, layouts and many other sources.
Why Evaluation Models Are Key for Successful Business RAG Implementation
One of the groundbreaking advancements of late in AI is Retrieval-Augmented Generation (RAG), which combines large language models (LLMs) with external knowledge bases to produce more accurate and contextually relevant responses. However, the implementation of RAG systems brings forth new challenges that necessitate robust evaluation models. This article delves into the importance of having an evaluation model when implementing RAG in a business context.
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.
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.
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.
In hybrid environments with cloud platforms, on-premises systems and external partners, agent-based file transfer can modernize workflows with centralized orchestration.