Hoffman: Advanced AI models cannot overcome exclusive access to core data
Auren Hoffman · Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven) · Nov 20, 2017 · at 8:46
Auren Hoffman, CEO of SafeGraph, speaking at Data Driven NYC about why data availability matters more than algorithmic complexity in artificial intelligence.
0:00 / 0:10exact quote · 10.3s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“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.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Auren Hoffman
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…”