In this episode, we dive into how artificial intelligence is being developed, tested, and trusted within the UK's National Health Service. Our guest is Adam Byfield, a principal technical assurance specialist with a unique journey from astrophysics to AI assurance. Adam leads a team adapting traditional software testing methods to ensure AI tools in healthcare are safe, effective, and fair,augmenting, not replacing, clinicians. Stay tuned as we unpack the challenges, breakthroughs, and the future of AI in the NHS.

In this episode, Matthew Heusser and Michael Larsen welcome Pat Rinaldo and Naresh Kumar Nunna to discuss the importance of synthetic test data for organizations that handle large amounts of customer data and cannot use real data due to privacy concerns. Ally Bank, working with Qualitest, has successfully leveraged synthetic data to enable faster innovation and testing for its automotive and insurance applications.

Pat and Naresh discuss ways that they have been able to generate diverse and representative test data to cover a wide range of scenarios, provide significant improvements in test coverage, regression testing speed, and reduction in defects escaping to production, to allow teams to focus on innovation rather than data management and compliance.

For the second part of our Women in Testing podcast Matthew Heusser and Michael Larsen welcome guest moderator Gwen Iarussi and guests Alexis Bell, Sangeetha Gururaj, and Lihi Segev to discuss the challenges faced by women leaders, and strategies for overcoming bias and creating opportunities for diverse talent, including stepping outside of their comfort zones and giving people a chance, microaggressions that women leaders face, and approaches for addressing them, as well as ways to make the first or next move in a dynamic and changing environment.