Add Artificial Intelligence to Your SDLC—Design, development, and testing

How can AI drive value throughout software design, development, and testing?

Will AI help your organization develop software faster, with fewer bugs and manual processes? Or, will it add fragmentation, silos, and risk?

This webinar will help you solve barriers to AI adoption before you introduce new tools and practices. We will explore how you can roll AI out across your whole software delivery pipeline while retaining three core principles for quality software delivery:

• Domain knowledge: Create a Generative AI which responds like it knows your organization.
• Agile best practices: Maintain collaboration, parallelization, “shift left” testing, and more.
• Test coverage: Measure and target AI test generation to find bugs early.

We will then show you how testers, developers, and BAs can leverage AI to design, develop, and release better software. Live demos will show you how AI supports:

• Requirements modeling: Convert user stories into unambiguous flowcharts, with AI-assisted refinement to catch design errors before they enter code.
• Requirements communication: Create knowledge hubs that answer questions as engineers develop the requirements, enabling rapid and accurate development.
• Test generation: Automatically create risk-based tests for the latest system, assuring quality before rapid releases.
• Test execution: Test at scale and across devices, with self-healing to avoid time-consuming maintenance.

Learn how AI can help you design the right system, develop it the first time around, and test it rigorously in-sprint!

Thursday, October 26
2:00 pm BST—London • 9:00 am EDT—New York