Systems | Development | Analytics | API | Testing

Introducing a Smarter Path to Intelligent Testing With Perforce Autonomous Testing

Software teams are under constant pressure to release faster. Yet testing, the safeguard that protects quality, has not kept pace with modern delivery speeds. More code and shorter sprints overwhelm QA capacity, while fragmented tools and late-stage performance checks create bottlenecks that slow everything down. The question is not whether testing needs to evolve. The question is how to evolve without a costly rip-and-replace of your existing stack.

Enterprise test management: Should you build or buy in the age of AI?

AI has opened the door for teams to build tools they previously had to buy. With the right prompts and internal workflows, teams can generate test cases, summarize results, analyze defects, and automate parts of the testing process faster than ever. For enterprise QA and engineering leaders, that raises a practical question: “should we build our own test management layer, or adopt an AI-powered test management platform?” It’s a fair conversation to have.

Will AI Replace Manual Testers? Katalon's Data Says the Story Is More Complicated

If you only follow the loudest headlines, it is easy to believe AI is about to wipe out manual testing. Katalon's State of Software Quality Report 2025 tells a more useful story, and it comes from inside the industry: over 1,500 QA professionals, from individual contributors to senior executives, across North America, Europe, and Asia-Pacific.

The 2026 State of Neobanking: Market Size, Profitability Trends, and Tech Stack Shifts

The state of neobanking 2026 looks very different now. A few years ago, most digital banks were chasing growth at any cost. More users. More app downloads. More market buzz. Today, the focus has shifted. Investors want profitable business models. Regulators want tighter compliance. Customers expect their neobank to feel as reliable as a traditional bank, but far more seamless to use. The industry is finally moving from hype toward operational maturity.

Real Estate Analytics Platform: When Building From the Ground Up Actually Pays Off

Most real estate and PropTech teams don’t struggle to see the value of analytics. They struggle to decide how far to go to get it. Do you build a real estate analytics platform from the ground up, or layer dashboards on top of the systems you already run? This is an expensive decision to get wrong. Built well, a custom platform becomes the backbone of how your company prices assets, prioritizes a portfolio, and reports to investors.

8 Top Social Intelligence Tools for Consumer Insights in 2026

Consumers describe products with a candor no survey ever captures. They complain that a moisturizer pills under makeup, praise a headphone hinge that survived a toddler, and debate whether a snack's new recipe ruined it, all in public, all unprompted, and at a volume no research team could read in a lifetime. That running commentary is the largest focus group ever assembled, and it never adjourns.

7 Best Virtual CISO Providers for Operational Technology Environments in 2026

Operational technology environments need a different kind of security leadership. A traditional IT security program usually focuses on users, endpoints, cloud systems, applications, identity, and data. OT environments add another layer: physical processes, industrial control systems, plant uptime, safety constraints, legacy assets, engineering priorities, and production continuity.

What Is A Test Bed In Software Testing? A Practitioner'S Guide

Every tester has lost an afternoon to an environment that would not behave. The code was fine. The suite was fine. The problem was the ground the tests ran on. That ground has a name, and getting it right is quietly one of the highest leverage things a QA team can do. It is called a test bed, and this guide walks through what it is, what goes into one, why it tends to fall apart, and how teams keep it stable without babysitting infrastructure all day.

Validation through Visual and Functional Harmony

Validation Simplified: Flake‑less Releases with Smart Visual Comparisons Diego Molina, Selenium project lead and Sauce Labs senior field solutions engineer, explains how “validation simplified” combines functional automation with visual validation to deliver flake-less, intent-based confidence for releases. He demonstrates how overly detailed assertions can lead to brittle and flaky tests, while visual checks can reduce verbosity and ensure a consistent user experience across various browsers and mobile devices..