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
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 modelling: 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!
See the complete Applitools AI-powered solution in action with a personalized demonstration
Expert Speakers
![Anand Bagmar](jpeg/anand-bagmar_applitools.jpeg)
Quality Evangelist and SOLUTION ARCHITECT, APPLITOOLS
Anand Bagmar is a Software Quality Evangelist with more than 20 years of experience in the software testing field. He is passionate about shipping quality products and specializes in product quality strategy and execution. A contributor to the Selenium project, he has built a number of open-source tools related to software testing and regularly speaks and writes on testing-related topics.
![James Walker, Curiosity Software](webp/james-walker-e1696365994327.webp)
Co-Founder and Chief Technology Officer, Curiosity Software
James Walker started his career with a PhD in visual analytics, combining human problem solving with computer processing power. He has applied these ground-breaking approaches with a focus on model-based design, test generation, and test data automation. Before co-founding Curiosity, James was a senior engineer at Grid-Tools and CA Technologies.