The Ledger
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Hoffman: Advanced AI models cannot overcome exclusive access to core data
“In that world, even the most advanced models, deep learning, and machine learning frameworks can't beat them because they have access to this kind of core underlying data.”
Hoffman: Great data usually beats great algorithms in machine learning
“Great data usually beats great algorithms.”
Hoffman: A data breach will put a data company out of business
“And of course, keeping that data secure is, is a huge issue, and you're going to build a security team, run penetration tests, you know, or of course you're going to be out of business if you have some sort of breach.”
Hoffman: Google has location data on 70% of US mobile phones
“Companies like Google have great access to this data because they have 70% of the phones in the U.S. That they have data on, and probably even a higher percentage of phones worldwide that they get to see all this great location data on.”
Hoffman: Most so-called data companies are actually application companies
“There are very few data companies out there. Most companies that are quote-unquote data companies are actually application companies.”
Hoffman: Future technological innovation will occur where data exists today
“If you really wanna know, like, where is innovation going to happen in the future, I think you can really look at innovation as to where we have data today.”
Hoffman: Nutrition tech will see little progress over the next 20 years
“On the flip side, if you think about nutrition, likely, 20 years from now, we'll still have fad diets. Just be, it's just incredibly difficult to collect all the data of, you know, everything that goes into your body, you know, your eventual outcome, which cou…”
Hoffman: China may lead in healthcare machine learning due to data regulations
“And so we could see, it's very possible we could see more machine learning innovations, or at least in certain areas, Like maybe in healthcare, for instance. We might see more machine learning innovations that happen in China than happen in, in other places.”
Hoffman: Machine learning engineers spend up to 99% of time organizing data
“So now, you know, you have these great machine learning engineers, and they thought they were going to be spending You know, all their time predicting the future, but it turns out they're spending 95 to 99% of their time organizing the past.”
Hoffman: Google ML engineers spend 95% of their time building models
“As a machine learning engineer, now you can spend 95% of your time predicting the future, which is what you want to do as a machine learning engineer.”
Hoffman: Data overhead is the core struggle for non-big-tech AI companies
“So this is the course, the core struggle for almost every single company, except for maybe Google, Facebook, Amazon, Tencent, that has to deal with all these types of issues.”
Hoffman: TensorFlow is one of the top 10 innovations of the past decade
“In my opinion, it's one of the top 10 innovations in, in the last 10 years.”
Hoffman: Compute power access prices have dropped every single month
“And the price, because of things like containers, et cetera, the price of access and compute power has gone down every single month.”
Hoffman: Internal data represents under 0.01% of global data for most companies
“Most companies out there, their own data represents, like, point oh one percent of the world. It's, unless you're Google, Facebook, Amazon, Tencent, a couple of others, you have a very small sliver of what's happening in the world.”
Hoffman: Oncology will see huge innovation in the next 20 years
“So the probably oncology is a place where we'll probably will see some innovation because there's a defined data set. There's, there are definitely some vendors today that have access to really good oncology data. So I expect that we'll see a lot of really gre…”
Hoffman: Privacy-preserving data querying solutions will emerge by 2022
“But I expect within the next five years, we'll probably have answers to some of those problems.”