As software delivery cycles become shorter and more complex, quality engineering must evolve beyond traditional testing methods. Organizations today need smarter, data-driven approaches to ensure faster releases without compromising quality. This is where Machine Learning & ALM Octane redefines modern quality engineering.
Join our Machine Learning & ALM Octane Demo to see how intelligent insights, predictive analytics, and risk-based testing can transform your QA strategy.
Why Smarter Quality Engineering Matters
Traditional quality assurance often relies on manual analysis, static test plans, and reactive defect management. These approaches struggle to keep pace with Agile and DevOps environments, leading to:
- Late defect detection
- Inefficient test coverage
- Increased release risks
- Higher testing costs
Smarter quality engineering uses Machine Learning to analyze historical and real-time data, enabling teams to anticipate risks, prioritize testing efforts, and make confident release decisions.
What You’ll See in the Machine Learning & ALM Octane Demo
This live demo showcases how ALM Octane leverages Machine Learning to bring intelligence into every stage of the testing lifecycle.
1. AI-Driven Risk-Based Testing
See how Machine Learning identifies high-risk application areas by analyzing defects, code changes, and past execution data—allowing teams to focus testing where it matters most.
2. Smarter Test Planning and Prioritization
Learn how ALM Octane automatically recommends which test cases to execute first, reducing redundant testing and accelerating feedback cycles.
3. Predictive Quality Insights
Experience real-time dashboards and predictive analytics that help assess release readiness and forecast potential quality issues before production.
4. Continuous Learning Across Releases
Watch how Machine Learning continuously improves recommendations by learning from every sprint, test run, and defect.
Key Benefits for QA and DevOps Teams
By attending the Machine Learning & ALM Octane Demo, teams can:
- Reduce manual effort in test planning
- Improve defect detection rates
- Achieve faster, more reliable releases
- Gain full visibility across Agile and DevOps pipelines
- Align quality goals with business outcomes
Who Should Attend This Demo?
This demo is ideal for:
- QA Managers and Test Leads
- DevOps and Agile Teams
- Quality Engineers and Automation Architects
- IT Decision-Makers and Delivery Managers
Whether you’re modernizing your QA processes or scaling Agile practices, this demo provides practical insights you can apply immediately.
Why Choose ALM Octane with Machine Learning?
OpenText ALM Octane is built for enterprise-scale Agile and DevOps. When enhanced with Machine Learning, it becomes a powerful platform for predictive quality management, enabling organizations to move from reactive testing to proactive quality engineering.
Experience the Future of Quality Engineering
Smarter quality engineering starts with smarter tools. Don’t just read about AI-driven testing – see it in action.
Experience the power of Machine Learning & ALM Octane in our live demo and discover how to elevate your quality engineering strategy.