Systems | Development | Analytics | API | Testing

Custom Exceptions in Ruby: Classes, Messages & Hierarchies

To create a custom exception in Ruby, define a class that inherits from StandardError: class PaymentError < StandardError; end. Raise it with raise PaymentError, "card declined" and rescue it by class. Inherit from StandardError, not Exception, so a bare rescue still catches it. Pass a default message by overriding initialize and calling super. Ruby’s built-in exception classes describe the language’s failure modes, not your application’s.

Why testing Oracle Fusion Agentic Applications is different - and how QA teams can adapt

Oracle’s Fusion Agentic Applications represent a new class of enterprise software. They contain coordinated teams of outcome-driven, proactive AI agents that are engineered to execute business processes across finance, HR, supply chain, and customer experience. For folks who work in those departments, these agents may streamline some of their daily work and help uplevel employees. For testers, they bring a measure of ambiguity. In general, you know how humans use these applications.

Hot Sauce Releases - Virtual Device Cloud

Hot Sauce Releases: What's New in Virtual Device Cloud Emulators give you speed and scale. Real devices give you physical accuracy. The smart move isn't choosing one. It's using virtual devices for broad automated coverage and real devices for the final layer of validation. In this edition of Hot Sauce Releases, Carlos Carvajal (Sr. Product Marketing Manager) and Nick Saunders (Sr. Product Manager) walk through what's new in Sauce Labs Virtual Device Cloud.

Ep 94 | Why Successful AI Models Can Still Fail the Business

An AI project can deliver a great prediction and still fail the business. Rajesh Kelvalkar has seen it happen firsthand. In one mining project, the model worked, but the team discovered that the downstream business process wasn’t configured to act consistently on its recommendations. The technology had done its job, but the transformation hadn’t. Recorded at EVOLVE26 Singapore, this episode of The AI Forecast brings Paul Muller together with Rajesh Kelvalkar, Senior Advisor at Tech Data APJ, to explore what more than 20 years of transformation work has taught him about putting AI into practice.

Tricentis Data Integrity: Validate your data. Trust every decision.

Most business decisions rest on data — but is that data actually tested? Not monitored, not profiled, but verified as fit for business use? For most organizations, the honest answer is no. In this video, Adnan walks through why data testing is a business problem, not just a data problem, and how Tricentis Data Integrity automates data validation end-to-end so you can trust every decision you make.