0:25

Knowledge graphs are expensive to build and maintain. One example: if a graph resolves just 0.1% of 10,000 monthly queries, it might improve overall performance by only 1%. The speaker asks whether that payoff justifies the ongoing team effort and infrastructure costs.

More from Angelina

0:27
youtube.com

Engineers won’t be replaced — they’ll become directors 🎬

2d ago
0:27
youtube.com

CAPTCHA Was Built to Block Bots. Now We Want Them In 🤖

3d ago
1:00:26
youtube.com

How Fast AI Learned Math | Phillip Kerger, Professor @ UC Berkeley, ex-NASA

3d ago
0:31
youtube.com

1 in 100 Trillion — Beating Face ID With Your Palm

6d ago
0:28
youtube.com

Stop Overbuilding Your Data Stack Before You Start

1w ago
1:02:02
youtube.com

The MrBeast Rule That Quietly Decides Who Wins on YouTube | Rox Codes, CEO @ Flightcast

1w ago
0:21
youtube.com

When Your AI Knows but Can't Tell You

1w ago
0:17
youtube.com

Why Facebook Has One of the Biggest Face Databases

1w ago
0:22
youtube.com

AI Is Great at Exploring, Not So Great on Rails

1w ago
52:59
youtube.com

Ask Any C-Suite This One Question About Their AI Agents | Hector Hernandez, COO @ Speakeasy

1w ago
1:05:30
youtube.com

How Enterprises Are Actually Adopting AI: From the Boardroom to Bare Metal

1w ago
See all content