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Inside Dataiku Cobuild: building trustworthy AI across 4 industries

Blog post from Dataiku

Post Details
Company
Date Published
Author
Team Dataiku
Word Count
1,263
Company Posts That Month
12
Language
English
Hacker News Points
-
Post removed?
No
Summary

In large enterprises, employees are increasingly building their own AI tools to solve real-world problems, creating a knowledge gap for IT and data leaders who struggle to track these tools, their data interactions, and long-term viability. Dataiku Cobuild addresses this challenge by providing a platform where business users can generate visual flows instead of code, allowing for transparent, auditable, and easily understandable AI project development within existing data infrastructures. This approach facilitates faster, more efficient problem-solving tailored to specific industry needs—such as regulatory compliance in financial services, operational efficiency in manufacturing, clinical trial acceleration in healthcare, and responsive demand forecasting in retail—while maintaining oversight by IT and compliance teams. Cobuild empowers business teams to develop solutions directly, ensuring that IT, risk, compliance, and engineering departments can still review and approve projects, enhancing both speed and control within the same trusted AI governance framework.

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