Systems | Development | Analytics | API | Testing

Business logic sits at the core of every system, yet it often becomes the hardest part to change. Rules get buried in complex code, feedback arrives too late, and even small updates turn into slow, risky efforts. This session explores why teams struggle with something that should be simple and how to bring clarity back into the process.

Testers weren’t nervous about AI replacing their work, the challenges were actually logistical. Teams struggled with unpredictable pre-production environment changes, global coordination, and unclear deployment windows, which caused confusion during monitoring and adoption. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

As AI agents take on critical roles in testing and automation, their weaknesses can become hidden risks waiting to surface. This session explores how applying red teaming techniques, borrowed from cybersecurity, can help uncover vulnerabilities in AI agents before they cause real-world failures.

Overburdened clouds rack up notable costs — in terms of storage, productivity, and finances. It’s time to make a change. This webinar makes it clear: You don’t have to struggle with your cloud storage and issues any longer. Ephemeral data will help free up space in your cloud, make data more accessible, and save you money. Our demo highlights the Perforce Delphix DevOps Data Platform for Kubernetes and its impact in numbers.

Learn more at: speedscale.com.

AI has transformed how software is built and tested, yet many teams still rely on traditional metrics like pass rates, coverage, and defect counts. While these numbers look good on dashboards, they often fail to answer the most important question in the AI era. Can we actually trust what the system is doing?

Agentic code generation has dramatically accelerated development, but QA often remains slowed by coordination gaps. Manual planning, delayed handoffs, and fragmented reviews continue to create friction, while AI agents operate in isolation without orchestration or governance. This session explores how to compose these siloed agents into a unified, AI-powered STLC where workflows are dependency-aware, auditable, and automatically triggered as soon as prerequisites are met.

Before building artificial intelligence, it’s worth asking whether we truly understand natural intelligence. Just as early pioneers of flight studied the principles of aerodynamics and observed how birds fly, this session argues that progress in AI requires a deeper understanding of human intelligence and the knowledge that already exists across related disciplines.

Katalon supports the full testing lifecycle by using Studio to create tests, TrueTest to generate additional user-based tests, and TestOps to manage everything: from organizing, planning, and executing tests to analyzing results and tracking defects. Together, they ensure tests scale across teams and projects. — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!

Welcome to a new era of intelligent test automation with Katalon TrueTest — a revolutionary AI-powered solution that bridges the gap between manual and automated testing. In this detailed end-to-end walkthrough, Mahtab Siddique, Senior Solutions Architect at Katalon, showcases how TrueTest uses AI and real user behaviour to generate, maintain, and optimise automation tests automatically.