AI is moving fast. But is faster always better?

Engineering teams are embedding AI across their entire development lifecycle. The question: what happens when velocity outpaces understanding?

This month’s CTO Talks brings together two perspectives: one advocating for AI acceleration, the other defending engineering rigor, code ownership, and long-term reliability.

Tess Chu, Director at ServiceNow, brings 20 years leading large-scale technology initiatives across consumer and enterprise sectors. Her expertise spans distributed systems, infrastructure, scalability, and architecture. She’s built platforms that hold up under pressure and knows exactly what happens when they don’t.

Larry Heminger, CTO at Jabra Hearing, brings 24 years of product and engineering leadership across software, hardware, and cloud. He scaled teams from startup to successful public exit at EcoATM and led AI modernization efforts at Calsense. Larry earned his BS in Computer Engineering from UC San Diego, an executive MBA from USC, and was a San Diego Top Tech award honoree in 2020.

Whether you lead engineering teams or build products, this conversation is for you.

See you on June 15!