This feature from Wired provides the transcript of a recent Stanford interview of author Yuval Noah Harari and Fei-Fei Li, one of the pioneers in the field of artificial intelligence. For this week’s posts, click on the paragraph links.
In case you missed it, you can listen to the recording here:
Sramana Mitra: How long has this company been around? Matthew Michela: Life Image is 11 years old. Sramana Mitra: You have 11 years’ worth of data that is built up in your system. That data is valuable. My next question is, how do you make that data available to people who are trying to do
Kyle Nakatsuji: We thought what if we went the opposite way, and we happened to find an opportunity to deliver a high-quality product by integrating it with other companies where people would prefer to spend their time. Now, I was running around looking for all of the distribution opportunities we could partner with as an
Matthew Michela: Because data is so hard to get even in this new world of statistical evaluation in front of us, the data that you use is still inadequate. What data is easily accessible? Claims data or data out of an EHR? That’s real world because I can tell you what I paid for two
Kyle Nakatsuji: When we started, we had really no money to invest but we had the ability to invest through the typical vendor payment process. We were making very small investments as an entrepreneur would. We were testing out some of our assumptions on how the model would work and why it would work. Then
I’m publishing this series on LinkedIn called Colors to explore a topic that I care deeply about: the Renaissance Mind. I am just as passionate about entrepreneurship, technology, and business, as I am about Art and Culture. In this series, I will typically publish a piece of Art – a painting, a poem, a piece
Matthew Michela: The second thing we’re doing in this big trend in AI, which I think you’re going to see dramatically more of in 2019 to 2021, is adoption of AI. We spent this first generation of AI creating the new algorithms and the computational tools and outcome. If you look at that entire industry,