Assertion certainty 4/5 debate potential 1/5

Akella: Industrial engineers spend 30 percent of their time collecting data

Prasad Akella · a16z Podcast | Automation + Work, Human + Machine · Jan 2, 2019 · at 11:36

Prasad Akella, founder of manufacturing AI company Drishti, explains the inefficiencies in traditional industrial engineering methods on factory floors.

0:00 / 0:05exact quote · 5.4s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“The bulk of the population just spends, according to our customers, 30% of their time just getting 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 Prasad Akella

Prediction Open · timeframe Nov 2068
Akella: Total factory job replacement by robots is multiple lifetimes away
“So if you do this math and you take the three forty million, roughly divided by six jobs per, you're looking at sixty million robots before you can wipe out all of mankind in any production facility. It ain't gonna happen in my lifetime. I don't see it happeni…”
Prasad Akella Jan 2, 2019 ▶ 14:01 a16z Podcast | Automation + Work, Human + Machine
Insight
Akella: Hiding AI features from users drives greater product adoption
“And by actually hiding AI, you actually drive greater usage. And I would argue that good AI company does is to hide it.”
Prasad Akella Jan 2, 2019 ▶ 18:58 a16z Podcast | Automation + Work, Human + Machine
Assertion Partly supported
Akella: General Motors team created the collaborative robot category
“We created an entire category called collaborative robots.”
Prasad Akella Jan 2, 2019 ▶ 1:43 a16z Podcast | Automation + Work, Human + Machine
Insight
Akella: Data-driven programming is the biggest technology shift in 25 years
“It's really data that's driving programming now. It's not logic. And that I think is the single biggest change that I've seen happen over the last 25 years.”
Prasad Akella Jan 2, 2019 ▶ 4:57 a16z Podcast | Automation + Work, Human + Machine
Prediction Not checkable as stated
Akella: Human workers will remain essential in factories for the long haul
“I really think that's where people and machines on the floor continue, and I think people are here for the long haul.”
Prasad Akella Jan 2, 2019 ▶ 7:46 a16z Podcast | Automation + Work, Human + Machine
Insight
Akella: Model generalization is the primary bottleneck to scaling AI
“I think the central challenge in front of us is how do you actually get these models to generalize across broader swaths of industry? So when we solve a problem today, we look at it in a much narrower context, we solve it, and we look for how much of that can …”
Prasad Akella Jan 2, 2019 ▶ 21:23 a16z Podcast | Automation + Work, Human + Machine
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.