1980s
Martin-Flickinger built a neural net in the Lisp language as her senior project at Washington State University.
“my senior project with a neural net that was built in Lisp, which is nobody even remembers what that is anymore.”
Topic
Gerri Martin-Flickinger
9 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
1985
Gerri Martin-Flickinger began her career at Chevron in 1985, doing AI work in a research mode.
“I went to Chevron, the oil energy company. Spent my early years there and did some really cool AI work while I was there”
late 1990s
Martin-Flickinger became the first chief information officer of McAfee in the late 1990s.
“I became the 1st CIO for McAfee in the late 90s, when McAfee was still quite small but grew quite large.”
2015
Martin-Flickinger joined Starbucks as its first chief technology officer about six years before the interview.
“joined Starbucks a little over six years ago as their first chief technology officer”
2015
Martin-Flickinger said Starbucks's scale of stores worldwide, each a small business, drew her to the company.
“I was intrigued by the scale, and the scale is interesting when you think about Starbucks.”
2015
After joining, Martin-Flickinger spent her first few weeks working in Starbucks stores to learn the business.
“I spent my 1st few weeks in a store learning about how people make lattes.”
2015
About 90 days after joining, Martin-Flickinger renamed Starbucks's IT department Starbucks Technology.
“90 days after I joined, changed the name of IT to Starbucks technology. Never use the word IT again.”
Undated
Martin-Flickinger spent about ten years at Adobe as CIO, helping move its products to a cloud subscription business.
“became the CIO for Adobe and was at Adobe for about ten years. And part of the team who migrated their product offerings into the cloud”
Undated
Martin-Flickinger says credit card companies have used embedded AI and machine learning for fraud detection for a long time.
“Your credit card companies have had it probably longer than you even realize for fraud detection.”
Episodes