AI case study

KatadataMedia intelligence

Analysts lost 3 hours daily to manual tagging. AI now summarizes and scores 10,000 articles in 15 minutes.

Published|6 months ago

Key results

Operational Costs
20%
Processing Time
15 mins
vs 3 hours
User Time Savings
up to 30%

Result highlights

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The story

Context

An Indonesian media and research company serving investors and policymakers needed to monitor up to 10,000 news articles daily.

Challenge

Manual sentiment analysis consumed 3-4 hours daily for repetitive tagging, creating bottlenecks during news spikes that delayed client reports. This...

Solution
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Quotes

The company

Data-driven media and research platform for business and economic news.

IndustryMedia
LocationJakarta, Indonesia
Employees51-250
Founded2012

The implementation partner

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Devoteam

devoteam.com
Role in this case study

Implemented an AI-driven news summarization and sentiment analysis system for Katadata.

IndustryTechnology
LocationLevallois-Perret, Île-de-France, France
Employees10K-50K
Founded1995

The vendor

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

Use case

Katadata's Media intelligence is part of this use case:

Enterprise Search
178 case studies(+12% YoY)
Proven impact?
LowModerateVery Strong
3.6Moderate
2.8Lowwithin Media
3.5Moderatewithin Knowledge Management

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