Skip to main content

Hi Everyone,

I’m reaching out to the community to gather valuable feedback and insights on Cognite Data Fusion (CDF), specifically its Canvas + Charts features as applied to Root Cause Analysis (RCA).

  • How are these tools impacting the RCA process?
  • In your experience, how have the quality, dependability, and response time of RCA processes improved since implementing CDF?
  • What kind of improvements have you observed in identifying root causes, especially in terms of speed and accuracy?
  • With the inclusion of Generative AI (GenAI) within CDF, how has AI-driven data exploration changed your RCA workflows?

I’d greatly appreciate hearing about how the combination of Canvas, Charts, and GenAI is transforming the way you approach RCA, and any real-world examples or challenges you’ve faced.

Looking forward to your insights!

Regards

Muhammad Waqas 

In Aker BP we recently have done a RCA pilot using Atlas AI together with Canvas and charts.

I think ​@Aleksandra Knödlseder might be the one with the best insights and details from this PoC.
It will be super interesting to hear what others have done in this domain aswell.

Regards Øystein

Reply


Terms & ConditionsCookie Settings