Systems | Development | Analytics | API | Testing

In this demonstration, Perforce Delphix expert Jatinder Luthra gives an insightful overview of using the Delphix MCP Server. After highlighting data operations’ latest challenges and MCP basics, Luthra takes you on a demo journey following a QA Lead, Sarah, featuring example scenarios and use cases. Find out how you can use the Delphix MCP Server prompts to bolster your organization’s testing, troubleshooting, and cross-team collaboration — watch the demo now.

A successful POC shows value fast, within just a couple of weeks, by guiding teams through the tool, confirming success criteria, and proving that AI enhances rather than threatens testers’ work. It’s practitioner-focused, methodical, and designed to demonstrate real impact before purchase. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Organizing your testing into Test Cycles is the best way to align your QA efforts with specific sprints, releases, and versions, ensuring your team stays focused and on schedule. This short demo video guides you through the process of setting up and populating your Test Cycles. You’ll learn how to define execution windows, link cycles to specific release versions, and pull in test cases from across different Jira projects to create a unified testing effort.

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Its reporting and dashboard capabilities provide real-time visibility into your quality metrics, so you always know the status of your release. This short demo video shows you how to navigate the Zephyr Reports tab and build customized Jira Dashboards. Whether it’s via high-level execution summaries or deep-dive traceability reports, you can track coverage and identify testing bottlenecks instantly.

AI doesn’t run on prompts alone—it runs on context. Architecture, security, and governance shape how AI makes decisions. Better context leads to safer, smarter outcomes.