It may be a cliché to say that we in software development live in a world of constant
change, but today it’s more relevant than ever. The advent of AI has accelerated the
pace of change.
AI presents you with an opportunity to rethink what quality is in your organisation now
means, and to redefine quality leadership.
Many quality professionals like you are expected to lead the work to maintain and
improve product quality. Now you’re wondering what software quality even means in this
radically transformed world and how to adapt.
How do we:
- Lead quality in an organisation that is integrating AI into its products and using AI to generate product and test code?
- Incorporate responsible AI approaches?
- Decide when a human must remain in the loop?
- Negotiate with senior management for improved testing over perceived productivity gains?
- Thoughtfully present a compelling business case?
In this interactive tutorial, we’ll explore what leadership and quality can look like in
changing situations with a particular focus on leading AI when you may not have hands-
on experience. Through workshop exercises and debriefs, you’ll gain practical tools and
models that will help you exercise leadership, guide strategy and help communicate the
risks and benefits of different quality operating models, so you can influence and propel
positive changes that will benefit your organisation and grow your career.