CNA banner
CNA avatar
CNA
@channelnewsasia
Subscribers3.2M
Views1.7B
Videos53.8K
CNAPublished at May 20, 2026 at 10:44 PM8:23
Singapore ranks third in DBS' Global AI Financial Hub Index, behind New York and San Francisco thumbnail

Singapore ranks third in DBS' Global AI Financial Hub Index, behind New York and San Francisco

16 days agoLong-tail
Timothy WongGan Kim YongAI readinessDBS CEOSingaporesingapore ranks third
Published time
May 20, 2026 at 10:44 PM
Duration
8:23
Video type
News & Politics
Channel region
Singapore
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
High RPM
This video sits in a relatively high RPM range, suggesting a more monetization-friendly topic.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
1.5K
Likes
15
Comments
5
Estimated Daily Revenue
-
Estimated Total Revenue
$1.09 - $6.34
RPM Range
$0.72 - $4.2
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
Timothy Wong
Video Description
Deputy Prime Minister Gan Kim Yong has urged global AI players in Singapore to deepen the country's local workforce capabilities. Speaking at a dialogue session on AI readiness, he added that Singapore needs to stay ahead of the curve by continuing to attract global talent. Meanwhile, a new index released by DBS has ranked 15 global financial centres on how well they combine AI capability with trust and governance. Singapore is ranked third, behind New York and San Francisco in the New Global AI Financial Hub Index.
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: Timothy Wong
Not enough related-topic video data yet.
Video FAQs

These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.

What can you learn from this video analytics page?

This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.

Why are RPM and revenue numbers estimates?

Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.

How should you use this page for content research?

Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.