Topic
10 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.
Undated
Linda Yao describes the first enterprise AI wave, about 20 years earlier, as the arrival of big data in commercial applications, most notably high-frequency trading.
“The 1st wave, about 20 years ago, was when big data really began finding itself into enterprise commercialized applications, most notably high frequency trading.”
Undated
Linda Yao says that about a decade before the episode, Amazon Web Services made computing more accessible, enabling use of big data.
“Then we fast forward ten years to about a decade ago, and that was around the time when AWS really made computing more accessible and democratized.”
Undated
Linda Yao says that in the second wave, enterprises set up machine learning teams and universities launched data science master's programs.
“At that time, every enterprise was looking at setting up their own machine learning team, every university was trying to launch a data science master's program.”
Undated
Linda Yao says ChatGPT put AI in the hands of consumers and in the mental model of every executive.
“But what ChatGPT did a couple years ago was really put AI at the fingertips of every consumer and really put it into the mental model of every C-suite member.”
Undated
Linda Yao says most of the AI applications Lenovo works on are not generative AI.
“the majority of AI applications that we work on today are not necessarily generative.”
Undated
Linda Yao says the term AI washing is inspired by greenwashing, where companies exaggerate environmental sustainability or ESG progress.
“AI washing is a little bit inspired by the word greenwashing, where a lot of companies might, you know, with good intentions, attribute a lot of activities to being more environmentally sustainable or heading toward their ESG goals.”
Undated
Linda Yao says technology, processes and data remain the biggest barrier CIOs see to scaling AI.
“Technology, processes, and data is still by far the biggest barrier for CIOs. It is the majority of what they see when it comes to inhibitors to scaling AI.”
Undated
Linda Yao says security has become more prominent with generative AI because of the data AI requires and generates.
“So, for example, the security question, it is so much more prevalent now, just because of the sheer amount of data that AI requires and the amount of data that AI now generates.”
Undated
Linda Yao says the industry has invested heavily in tools, foundation models and platforms and is now moving into an era of inference, or applying AI.
“we have spent a lot of time and a lot of investment now honing the tools, honing the foundation models, honing the platforms to really harness all this power of artificial intelligence.”
Undated
Linda Yao previously worked at Boeing, where she worked on the flight line for F-18 aircraft.
“I was at Boeing before and I was able to work on the flight line for the F-18s, and it was one of the highlights of my career.”
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