Content
Track
Cybersecurity
Track
Experience
Track
Observability and Service Management
Track
DevOps
Track
Business Network
Track
Analytics
Track
In an era of accelerating business expectations and rising risk, organizations must balance agility, compliance, and visibility across teams, tools, and pipelines. Quality can no longer be treated as a tick-the-box exercise; it must act as a strategic accelerator embedded throughout the software delivery lifecycle.
This session looks at how a platform-based delivery approach combined with innovative AI capabilities supports day-to-day governance, traceability, and quality control across complex environments. We explore how teams can improve delivery outcomes by identifying risk earlier, maintaining consistent quality without adding friction, and aligning developers, testers, and product owners around trusted, shared delivery data.
Rather than bolting point tools together, this session shows how a platform-led strategy turns quality from a delivery constraint into a competitive differentiator, supporting team autonomy while maintaining enterprise-grade governance and control.
Content
Track
Cybersecurity
Track
Experience
Track
Observability and Service Management
Track
DevOps
Track
Business Network
Track
Analytics
Track
Modern software delivery calls for automation that is not only fast, but intelligent, adaptive, and insightful. Traditional scripting and manual test efforts cannot keep pace with today’s expectations for continuous delivery, performance at scale, and compliance readiness. This breakout focuses on how modern and intelligent functional and performance testing changes the way teams approach automation in practice, significantly lowering manual effort, shortening feedback cycles, and focusing engineering capacity on higher-value work. Through practical examples, you’ll see how intelligent automation enables teams to validate application functionality and performance earlier and more consistently, helping delivery teams move faster with greater confidence, without increasing risk or overhead.
Every escaped defect costs trust. Some cost millions. Audit fatigue, tool sprawl, and broken test cycles have long been treated as the cost of doing business. It’s time to rewrite that equation. In this strategy-forward session, see how OpenText DevOps Cloud puts agentic AI to work—generating tests, predicting defect leakage, and enforcing compliance across 250+ pipelines, from GitHub to SAP. You’ll get a front-row view of autonomous test bots, stability intelligence, and flow optimization—all running inside your policy guardrails. No rebuilds. No retooling. Just safer, smarter shipping. And a look at what’s next: fully autonomous build-test-secure loops that deliver clean code, continuously—without the firefighting.
