Your team is working on an NLP model and has just operationalized the first model. Your team makes
updates to the model, overwrites the original model, and puts this new model into operation.
However, one of the teams using the model has seen a decrease in performance and is asking to use
the original model.
What critical error did your team make?
Question No 2
Enhancing and cleaning data is an important action during which phase of CPMAI?
Question No 3
Your team is ready to operationalize the model they have been working on. It's a model that is meant
to be used on an "edge device", specifically a mobile phone and the user may sometimes be in
remote locations without regular access to the internet.
What's the most important thing to consider here?
Question No 4
For AI projects the code and systems don't matter as much as the dat
a. In fact, big data is what's powering much of this latest wave of AI. What's most important for your
company to consider around data?
Question No 5
Using machine learning and other cognitive approaches to understand how to take past/existing
behavior and predict future outcomes or help humans make decisions about future outcomes using
insight learned from past behavior/interactions/data is a core part to which pattern(s) of AI?