a-primer-on-data-drift 
Dataiku
JUNE 22, 2020
When a machine learning model is deployed in production, the main concern of data scientists is the model pertinence over time. Is the model still capturing the pattern of new incoming data, and is it still performing as well as during its design phase?
Lacework
DECEMBER 7, 2022
The same organizations building in the cloud often struggle to ensure their cloud is secure, comply with regulatory standards, and protect themselves and their customers from data breaches or disruption. Critical resources and sensitive data that were once buried beneath layers of infrastructure are now directly accessible from the internet.
O'Reilly Media - Ideas
JULY 25, 2023
Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. This article summarizes what I learned from that experience. Setting the Stage: Who Am I and What Am I Trying to Build?
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