AI & Software Development Through the Lens of Quality

When:  May 20, 2026 from 07:30 PM to 08:30 PM (ET)
Associated with  Medical Device Division

Artificial intelligence is rapidly transforming how software is designed, developed, and maintained—yet expectations for quality, safety, and regulatory compliance remain as high as ever. This webinar explores AI-enabled software development through the lens of quality, focusing on what must evolve and what must remain constant to ensure safe, effective, and compliant outcomes.

Join Ephrat (Ephi) Most, Engineering Program Director in the Cranial & Spinal Technologies Operating Unit at Medtronic, as she shares practical insights from over 20 years of experience in software quality, system engineering, and leadership in regulated medical device environments. The session will examine how AI can accelerate key activities such as requirements development, testing, code review, risk analysis, and post-market surveillance—while maintaining strong validation practices, governance, and regulatory alignment.

Attendees will gain a deeper understanding of where AI delivers the most value across the product lifecycle, common pitfalls to avoid, and how quality organizations can enable faster innovation while preserving trust, traceability, and audit readiness.

Event Details:
Title: AI & Software Development Through the Lens of Quality
Date: Wednesday, May 20, 2026
Time: 7:30 – 8:30 PM EST
Format: Live Webinar
Cost: $10 (registration required)

Register here: https://app.memberplanet.com/#/event/asqbiomedicaldivisioncommittee/aisoftwaredevelopmentthroughthelensofquality

Speaker Bio:


Ephrat (Ephi) Most is an Engineering Program Director at Medtronic, where she leads software and system quality initiatives across complex, regulated medical device programs. She partners with R&D, Quality, Cybersecurity, and enterprise teams to drive process harmonization, compliance, and operational excellence. Known for advancing software quality through governance improvements, automation, and AI-enabled solutions, Ephi is also a strong advocate for mentorship, inclusive collaboration, and building scalable quality systems that support innovation without compromising patient safety.

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