Assertion certainty 4/5 debate potential 2/5

AJ Shankar: Most machine learning implementations do not use deep learning

AJ Shankar · a16z Podcast | The Product Edge in Machine Learning Startups · Jan 2, 2019 · at 3:58

AJ Shankar, co-founder and CEO of Everlaw, explains why machine learning startups can achieve major value without relying on complex deep learning neural networks.

0:00 / 0:07exact quote · 7.8s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“Most ML implementations are not deep learning. They're not neural networks. There's a ton of implementations that are incredibly valuable that don't involve networks.”

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 AJ Shankar

Assertion Supported
AJ Shankar: IBM Watson is mostly regression, not an all-solving brain
“What IBM calls Watson, which is not some brain that just solves every problem, but a whole agglomeration of different techniques is largely regression, which is an incredibly powerful technique.”
AJ Shankar Jan 2, 2019 ▶ 4:04 a16z Podcast | The Product Edge in Machine Learning Startups
Opinion
AJ Shankar: ML startups hype algorithms for fundraising, not customer value
“Typically when companies are hyping up their machine learning component, they're, Might be doing it more to raise money than they are to provide a value to the customer.”
AJ Shankar Jan 2, 2019 ▶ 11:16 a16z Podcast | The Product Edge in Machine Learning Startups
Insight
AJ Shankar: AI products must act as transparent partners, not black boxes
“Yeah, I mean, the key thing you want to do is, is present the AI as a partner in the human, in the humans, in the people's endeavors, you know, what they're trying to do. This is something that's going to help you, you're going to work with it, and when you do…”
AJ Shankar Jan 2, 2019 ▶ 20:19 a16z Podcast | The Product Edge in Machine Learning Startups
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,000 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.