AJ Shankar

CEO & Founder, Everlaw · 1 appearance on the record.

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AJ Shankar is the founder and CEO of Everlaw, a cloud-native, AI-powered e-discovery and litigation platform. He holds a Ph.D. in Computer Science from UC Berkeley and previously launched a computer vision startup before founding Everlaw.

4statements → 2claims → 1claims resolved → 3.75/5average certainty → 2.5/5average debate potential →

1 supported 0 partly supported 0 contradicted 1 not checkable as stated how the 2 claims stand · each chip opens the sources

2 assertions · 1 opinion · 1 insight · every statement was checked. The predictions and assertions are the 2 claims: statements the public record can support or contradict. 1 is resolved, and 1 names no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how AJ argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

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

What they said4 Episodes1

Everything AJ Shankar said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Supported

AJ Shankar: IBM Watson is mostly regression, not an all-solving brain

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

Assertion Not checkable as stated

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

“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.”

AJ Shankar Jan 2, 2019 ▶ 3:58 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

Appearances (1)

Episode	Date	Speaking time
a16z Podcast \| The Product Edge in Machine Learning Startups	Jan 2, 2019	6m

AJ Shankar

The record, in short

Their most notable supported claim

Appearances (1)

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