All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Security
Security
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

How siloed data and legacy infrastructure are driving up AI costs for enterprises

By

Christy Maver

3d ago· 4 min readenInsight

Summary

AI adoption is yielding returns, but many organizations face scalability and cost challenges due to disconnected data environments. A recent Economist Enterprise survey of over 1,200 technology leaders found that 67% of companies with siloed data cite storage, movement, and duplication as the largest recurring AI costs, compared to just over half for those with unified data architectures. The article argues that now is the time to build future-proof AI infrastructure, though database migrations remain complex and expensive.

Source

bskyHow siloed data and legacy infrastructure are driving up AI costs for enterprisesdatabricks.com

Key quotes

· 3 pulled
Among companies with disconnected data environments, 67% cited data storage, movement, and duplication as the largest recurring AI cost.
Now is the time to build the future-proof foundation for AI.
But database migrations are expensive.
Snippet from the RSS feed
Using insights from the recent Economist Enterprise report, this blog will go into detail on why siloed data and legacy infrastructure are a roadblock to AI progress.

You might also wanna read

Comments

Sign in to join the conversation.

No comments yet. Be the first.