Systems | Development | Analytics | API | Testing

AI Document Processing in Astera ReportMiner

This video shows how Astera ReportMiner extracts data from documents that don't share a common layout, with no template to design and no fields to mark. Traditional pattern matching depends on documents landing in the same shape every time. Invoices from hundreds of different suppliers don't, and this demo uses that as the test case: mixed layouts, multiple languages, multi-page files, and scans. The walkthrough covers.

Trust, Traceability, and Choice: What We Believe Our 2026 IDC MarketScape Leader Recognition Means for Your Data

Qlik has been named a Leader in the IDC MarketScape: Worldwide Data Intelligence Platform Software 2026 Vendor Assessment. I'll say the obvious part first: we're proud of this. Independent recognition matters, and this one reflects work happening across every team at Qlik. But analyst recognition on its own doesn't help you run your data estate.

iOS 27 Is Here: How Perfecto Keeps Your Apps Release-Ready

Apple's iOS 27 release marks another significant shift in the mobile landscape. Beyond new features for iPhone users, it signals a familiar pressure point for QA and development teams: the clock starts ticking the moment the update goes live, and your apps need to be ready. Here's why that matters: nearly 80% of iPhone users adopt the newest iOS version almost immediately. That high adoption rate leaves little room for error. If your app breaks on the iOS 27 release, your customers notice fast.

The Portfolio Visibility Problem Nobody Notices Until It's Expensive

Most organizations can tell you, in detail, what's happening inside any single project. Ask about five projects at once, and the answer gets vague fast. Not because the information doesn't exist - it does, buried inside five different task boards, timesheets, and status decks - but because nothing sits above the project level to actually connect it.

Automating Trust: How Business Review Management Fits Into the Modern Ops Stack

Most companies still treat reviews as a marketing chore. Someone on the team remembers, sends a batch of emails, watches a few stars roll in, and forgets about it for six weeks. That model is finished. Consumers now expect a reply within days, they discount anything written more than three months ago, and a growing share of them never read your reviews at all because an AI assistant read them first and summarized the themes. None of that can be served by a human remembering to check a dashboard.

Performance Testing Serverless Architectures Guide 2026

Performance testing for serverless is an ongoing process. The most reliable results come from repeated, targeted experiments that reflect real usage. By focusing on cold starts, concurrency, and external dependencies – and by leveraging advanced cloud testing platforms – you can deliver consistent, reliable performance as serverless adoption grows.

Five Ways to Use OpenTelemetry Beyond Observability

OpenTelemetry graduated from the CNCF in May 2026 as, in the foundation’s own words, the de facto observability standard. The JavaScript API package alone did 1.36 billion downloads in twelve months. That kind of win has a side effect nobody plans for. Once a wire format is everywhere, has a receiver for every source, a transform language, and an agent your platform team already operates, people start putting things on it that have nothing to do with knowing whether a service is healthy.

Test Management in the AI-Driven Era: What QA Teams Should Expect from Their Platform

Ask most QA teams how many tools it takes to manage one release and the list runs long: a repository for test cases, a separate grid for automated runs, a dashboard bolted on for reporting, and now an AI tool for generating or maintaining tests. Each has its own login, its own contract, and its own way of describing the same test case. That fragmentation is why "all-in-one test management platform" became the phrase buyers actually search for.

[Finance Demo] - AgentSpot Use Case - Virtual Card Spend Oversight

Manually cross-validating virtual card data across disconnected systems was a constant pain, until the procurement team built an AgentSpot agent to do it automatically. This video showcases a Virtual Card Intelligence agent that pulls PO and requisition data from Google Drive, cross-validates it against Spend Flow, flags expiring cards and utilization risks across 30/60/90 day bands, and sends personalized Slack outreach to card owners. Plus a full 9-tab Excel report covering KPIs, expiry, utilization, and reconciliation. The best part? This is all done in just 4-5 minutes.