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WSJ Tech News Briefing

How Microsoft’s CFO Calls the Shots on AI Spending

WSJ Tech News Briefing

The Wall Street Journal

News, Tech News

4.61.6K Ratings

🗓️ 8 November 2024

⏱️ 12 minutes

🧾️ Download transcript

Summary

Microsoft chief financial officer Amy Hood is responsible for approving deals that have made Microsoft the most acquisitive company in the tech industry. WSJ tech reporter Tom Dotan tells host Cordilia James how Hood is steering the company’s massive spending on artificial intelligence. Plus, how to spot fake reviews from real ones while shopping online. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

exchanges the goldman sacks podcast featuring exchanges on rates inflation and u.s recession risk

0:12.1

exchanges on the market impact of ai for the sharpest analysis on forces driving the markets

0:18.8

and the economy count on exchanges between the leading

0:22.1

minds at Goldman Sachs. New episodes every week. Listen now. Welcome to Tech News Briefing. It's Friday,

0:36.9

November 8th. I'm Cordelia James for the Wall Street Journal.

0:41.1

Fake online reviews can be tricky to spot, but they don't have to be. We walk you through what to look out for so you don't get duped.

0:48.7

And then, the woman behind Microsoft's multi-billion dollar artificial intelligence budget is Amy Hood, the company's

0:56.0

chief financial officer. WSJ reporter Tom Duton tells us how she is steering the company's

1:02.0

massive spending on AI.

1:08.3

First up, when checking reviews online, it can be hard to know what to believe.

1:13.4

According to some estimates, 16 to 40% of reviews are phony.

1:18.5

To curb this spread, the Federal Trade Commission created a role that finds companies that pay for fake reviews.

1:25.4

Heidi Mitchell wrote about this for the Wall Street Journal, and she joins us now with more.

1:30.3

Heidi, what are the websites that host reviews, like Google and Yelp, doing about this problem?

1:36.0

Everyone that I spoke with, they're really working hard to solve for it.

1:39.9

So they'll, they have software that will read everything before it goes through.

1:45.0

A lot of them have humans also on staff whose job is to read ones that the software flags.

1:51.6

They will ban people from sites.

1:53.9

They recognize patterns and prevent those emails or specific users from posting.

2:01.4

Okay, so what's the first thing people should do to spot a fake review?

2:06.2

The first thing you should know is that you're really bad at seeing if it's a real review

2:10.7

or fake review. Humans are like 50% right. It's just a coin toss. So you really should go in

...

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